The global telecommunications industry is facing significant challenges due to the rapid growth in data traffic and the growing environmental concerns associated with these networks. This paper explores strategies for optimizing network design and operation towards a greener, more sustainable future. Key challenges include the environmental impact of energy consumption, which accounts for 2-3% of global electricity consumption. The paper focuses on optimizing network design and operation, exploring energy-saving techniques and innovations, and revealing advanced network management optimizations. It also explores the transformative role of renewable energy sources like solar, wind, and geothermal power in mitigating the carbon footprint of telecommunications networks. The paper evaluates on-site renewable energy generation and power purchase agreements (PPAs) as integral components of a sustainable energy strategy. The paper highlights the potential of a holistic approach to telecommunications energy efficiency, including deploying energy-efficient hardware, using green data centers equipped with advanced power management techniques, implementing intelligent power management systems, and optimizing network traffic flow. Network management optimization involves regular evaluation and optimization of infrastructure, eliminating redundancy and underutilized equipment, and employing software-defined networking (SDN) and Network Function Virtualization (NFV). Renewable energy integration is also discussed, with on-site renewable energy generation and power purchase agreements emerging as powerful tools in reducing dependence on traditional grids and fossil fuels. The integration of AI, machine learning, and blockchain technology is also explored. By implementing these strategies, the telecommunications industry can contribute significantly to global environmental goals while securing enduring economic benefits. The implications of a sustainable telecommunications infrastructure extend beyond immediate energy savings, encompassing enhanced brand image, cost-effectiveness, and compliance with evolving regulations. Keywords: Telecommunications, Energy Efficiency, Network Design, Green Networks, Network Management, Emerging Technologies.
{"title":"TELECOMMUNICATIONS ENERGY EFFICIENCY: OPTIMIZING NETWORK INFRASTRUCTURE FOR SUSTAINABILITY","authors":"Chinedu Alex Ezeigweneme, Aniekan Akpan Umoh, Valentine Ikenna Ilojianya, Abimbola Oluwatoyin Adegbite","doi":"10.51594/csitrj.v5i1.700","DOIUrl":"https://doi.org/10.51594/csitrj.v5i1.700","url":null,"abstract":"The global telecommunications industry is facing significant challenges due to the rapid growth in data traffic and the growing environmental concerns associated with these networks. This paper explores strategies for optimizing network design and operation towards a greener, more sustainable future. Key challenges include the environmental impact of energy consumption, which accounts for 2-3% of global electricity consumption. The paper focuses on optimizing network design and operation, exploring energy-saving techniques and innovations, and revealing advanced network management optimizations. It also explores the transformative role of renewable energy sources like solar, wind, and geothermal power in mitigating the carbon footprint of telecommunications networks. The paper evaluates on-site renewable energy generation and power purchase agreements (PPAs) as integral components of a sustainable energy strategy. The paper highlights the potential of a holistic approach to telecommunications energy efficiency, including deploying energy-efficient hardware, using green data centers equipped with advanced power management techniques, implementing intelligent power management systems, and optimizing network traffic flow. Network management optimization involves regular evaluation and optimization of infrastructure, eliminating redundancy and underutilized equipment, and employing software-defined networking (SDN) and Network Function Virtualization (NFV). Renewable energy integration is also discussed, with on-site renewable energy generation and power purchase agreements emerging as powerful tools in reducing dependence on traditional grids and fossil fuels. The integration of AI, machine learning, and blockchain technology is also explored. By implementing these strategies, the telecommunications industry can contribute significantly to global environmental goals while securing enduring economic benefits. The implications of a sustainable telecommunications infrastructure extend beyond immediate energy savings, encompassing enhanced brand image, cost-effectiveness, and compliance with evolving regulations. \u0000Keywords: Telecommunications, Energy Efficiency, Network Design, Green Networks, Network Management, Emerging Technologies.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"15 S2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139628631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This review examines the intricate relationship between digital communication and economic growth in the United States, providing a systematic synthesis of the literature on the subject. With the advent of the digital age, communication technologies have become a fundamental component of economic development, influencing various aspects of productivity, employment, and Gross Domestic Product (GDP) growth. This paper explores the evolution of digital communication, from the internet and mobile technology to cutting-edge developments such as artificial intelligence and the Internet of Things (IoT), and their corresponding impact on the U.S. economy. The review delves into sector-specific analyses, assessing how digital advancements have revolutionized industries like manufacturing, services, and finance. It also addresses the challenges and opportunities that digital communication presents, including the digital divide, cybersecurity threats, and the implications for policy-making. Through a comprehensive examination of empirical studies, theoretical frameworks, and policy implications, this review highlights the significant role of digital communication in shaping economic trends and outlines potential directions for future research. The findings suggest that digital communication not only serves as a driver of economic efficiency and innovation but also poses new challenges that require adaptive and forward-thinking policy responses. The review concludes by emphasizing the need for continued research to navigate the complexities of digital communication in fostering sustainable economic growth. Keywords: Digital Communication, Economic Growth, United States, Technological Innovation.
{"title":"DIGITAL COMMUNICATION AND U.S. ECONOMIC GROWTH: A COMPREHENSIVE EXPLORATION OF TECHNOLOGY'S IMPACT ON ECONOMIC ADVANCEMENT","authors":"Yvonne Oshevwe Okoro, Monisola Oladeinde, Odunayo Josephine Akindote, Abimbola Oluwatoyin Adegbite, Temitayo Oluwaseun Abrahams","doi":"10.51594/csitrj.v4i3.687","DOIUrl":"https://doi.org/10.51594/csitrj.v4i3.687","url":null,"abstract":"This review examines the intricate relationship between digital communication and economic growth in the United States, providing a systematic synthesis of the literature on the subject. With the advent of the digital age, communication technologies have become a fundamental component of economic development, influencing various aspects of productivity, employment, and Gross Domestic Product (GDP) growth. This paper explores the evolution of digital communication, from the internet and mobile technology to cutting-edge developments such as artificial intelligence and the Internet of Things (IoT), and their corresponding impact on the U.S. economy. The review delves into sector-specific analyses, assessing how digital advancements have revolutionized industries like manufacturing, services, and finance. It also addresses the challenges and opportunities that digital communication presents, including the digital divide, cybersecurity threats, and the implications for policy-making. Through a comprehensive examination of empirical studies, theoretical frameworks, and policy implications, this review highlights the significant role of digital communication in shaping economic trends and outlines potential directions for future research. The findings suggest that digital communication not only serves as a driver of economic efficiency and innovation but also poses new challenges that require adaptive and forward-thinking policy responses. The review concludes by emphasizing the need for continued research to navigate the complexities of digital communication in fostering sustainable economic growth. Keywords: Digital Communication, Economic Growth, United States, Technological Innovation.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"115 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139126171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.51594/csitrj.v4i3.686
Ejuma Martha Adaga, Gold Nmesoma Okorie, Zainab Efe Egieya, Uneku Ikwue, Chioma Ann Udeh, Donald Obinna DaraOjimba, Osato Itohan Oriekhoe
This paper critically examines the role of Big Data in shaping contemporary business strategies, highlighting its transformative impact across various sectors. The study delves into the multifaceted nature of Big Data, exploring its integration into business models, the challenges it presents, and the strategic advantages it offers. The research is grounded in a comprehensive literature review, focusing on peer-reviewed articles, conference papers, and academic book chapters from 2010 onwards, ensuring relevance and currency in the rapidly evolving field of Big Data. The aim of the paper is to provide a nuanced understanding of how Big Data influences business strategies, identifying existing research gaps and setting a clear direction for future scholarly inquiry. The scope encompasses the assessment of Big Data's integration in business strategies, its impact on decision-making processes, ethical implications, and the effectiveness of current technologies and methodologies. Key findings reveal that Big Data significantly enhances decision-making capabilities, customer experience, and competitive advantage. It also highlights the necessity for a strategic blueprint for Big Data integration, addressing cultural, governance, strategic, and technological aspects. The study concludes with recommendations for businesses to adopt a data-driven approach, integrating Big Data analytics into their strategic planning to enhance decision-making, customer engagement, and ethical compliance. In conclusion, the paper underscores the need for businesses to develop comprehensive strategies for Big Data integration, focusing on fostering a data-driven culture and ensuring data security and privacy. This strategic approach will enable businesses to leverage the full potential of Big Data, driving innovation and maintaining a competitive edge in the digital landscape. Keywords: Big Data, Business Strategy, Decision-Making, Data-Driven Culture, Ethical Implications.
{"title":"THE ROLE OF BIG DATA IN BUSINESS STRATEGY: A CRITICAL REVIEW","authors":"Ejuma Martha Adaga, Gold Nmesoma Okorie, Zainab Efe Egieya, Uneku Ikwue, Chioma Ann Udeh, Donald Obinna DaraOjimba, Osato Itohan Oriekhoe","doi":"10.51594/csitrj.v4i3.686","DOIUrl":"https://doi.org/10.51594/csitrj.v4i3.686","url":null,"abstract":"This paper critically examines the role of Big Data in shaping contemporary business strategies, highlighting its transformative impact across various sectors. The study delves into the multifaceted nature of Big Data, exploring its integration into business models, the challenges it presents, and the strategic advantages it offers. The research is grounded in a comprehensive literature review, focusing on peer-reviewed articles, conference papers, and academic book chapters from 2010 onwards, ensuring relevance and currency in the rapidly evolving field of Big Data. The aim of the paper is to provide a nuanced understanding of how Big Data influences business strategies, identifying existing research gaps and setting a clear direction for future scholarly inquiry. The scope encompasses the assessment of Big Data's integration in business strategies, its impact on decision-making processes, ethical implications, and the effectiveness of current technologies and methodologies. Key findings reveal that Big Data significantly enhances decision-making capabilities, customer experience, and competitive advantage. It also highlights the necessity for a strategic blueprint for Big Data integration, addressing cultural, governance, strategic, and technological aspects. The study concludes with recommendations for businesses to adopt a data-driven approach, integrating Big Data analytics into their strategic planning to enhance decision-making, customer engagement, and ethical compliance. In conclusion, the paper underscores the need for businesses to develop comprehensive strategies for Big Data integration, focusing on fostering a data-driven culture and ensuring data security and privacy. This strategic approach will enable businesses to leverage the full potential of Big Data, driving innovation and maintaining a competitive edge in the digital landscape. Keywords: Big Data, Business Strategy, Decision-Making, Data-Driven Culture, Ethical Implications.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139129633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This scholarly investigation delves into the evolving realm of Information Technology (IT) innovations and data analytics within Nigerian enterprises, focusing on their transformative impact, governance challenges, and the strategic implications for business practices. Set against the backdrop of Nigeria's dynamic economic landscape, the study aims to unravel the complexities and potential of IT and data analytics in reshaping the country's business environment. The research adopts a review approach to study traverse various domains, including the historical evolution of IT, the transformative role of data analytics in decision-making, governance hurdles in the IT sector, and compliance issues within Nigerian IT practices. The findings reveal a significant IT and data analytics evolution, marked by increased adoption and integration into business operations. However, challenges such as infrastructural inadequacies, skill gaps, and regulatory complexities emerge as significant barriers. The study concludes that for Nigerian enterprises to fully leverage IT innovations, a robust governance framework, strategic alignment of IT practices, and investment in technology and skills development are imperative. Recommendations include fostering a culture of innovation, adaptability, and compliance to navigate the digital landscape effectively. The study serves as a comprehensive guide for businesses, policymakers, and stakeholders in the Nigerian IT sector, offering insights for leveraging IT innovations for sustainable growth and development. Keywords: IT Innovations, Data Analytics, Nigerian Enterprises, Governance Challenges, Strategic Implications, Digital Transformation.
本学术研究深入探讨了尼日利亚企业中不断发展的信息技术（IT）创新和数据分析领域，重点关注其变革性影响、管理挑战以及对商业实践的战略意义。本研究以尼日利亚充满活力的经济格局为背景，旨在揭示信息技术和数据分析在重塑尼日利亚商业环境方面的复杂性和潜力。研究采用回顾的方法对各个领域进行研究，包括信息技术的历史演变、数据分析在决策中的变革作用、信息技术部门的治理障碍以及尼日利亚信息技术实践中的合规问题。研究结果揭示了信息技术和数据分析的重大发展，其特点是越来越多地采用信息技术和数据分析，并将其整合到业务运营中。然而，基础设施不足、技能差距和监管复杂性等挑战也成为重大障碍。研究得出结论，尼日利亚企业要充分利用信息技术创新，必须建立健全的管理框架，对信息技术实践进行战略调整，并对技术和技能发展进行投资。建议包括培养创新文化、适应性和合规性，以有效驾驭数字环境。本研究为尼日利亚 IT 行业的企业、政策制定者和利益相关者提供了全面指导，为利用 IT 创新促进可持续增长和发展提供了真知灼见。关键词IT创新、数据分析、尼日利亚企业、治理挑战、战略影响、数字化转型。
{"title":"REVIEW OF IT INNOVATIONS, DATA ANALYTICS, AND GOVERNANCE IN NIGERIAN ENTERPRISES","authors":"Monisola Oladeinde, Azeez Olanipekun Hassan, Oluwatoyin Ajoke Farayola, Odunayo Josephine Akindote, Abimbola Oluwatoyin Adegbite","doi":"10.51594/csitrj.v4i3.685","DOIUrl":"https://doi.org/10.51594/csitrj.v4i3.685","url":null,"abstract":"This scholarly investigation delves into the evolving realm of Information Technology (IT) innovations and data analytics within Nigerian enterprises, focusing on their transformative impact, governance challenges, and the strategic implications for business practices. Set against the backdrop of Nigeria's dynamic economic landscape, the study aims to unravel the complexities and potential of IT and data analytics in reshaping the country's business environment. The research adopts a review approach to study traverse various domains, including the historical evolution of IT, the transformative role of data analytics in decision-making, governance hurdles in the IT sector, and compliance issues within Nigerian IT practices. The findings reveal a significant IT and data analytics evolution, marked by increased adoption and integration into business operations. However, challenges such as infrastructural inadequacies, skill gaps, and regulatory complexities emerge as significant barriers. The study concludes that for Nigerian enterprises to fully leverage IT innovations, a robust governance framework, strategic alignment of IT practices, and investment in technology and skills development are imperative. Recommendations include fostering a culture of innovation, adaptability, and compliance to navigate the digital landscape effectively. The study serves as a comprehensive guide for businesses, policymakers, and stakeholders in the Nigerian IT sector, offering insights for leveraging IT innovations for sustainable growth and development. \u0000Keywords: IT Innovations, Data Analytics, Nigerian Enterprises, Governance Challenges, Strategic Implications, Digital Transformation.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"102 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139393970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-24DOI: 10.51594/csitrj.v4i3.659
Samuel Onimisi Dawodu, Adedolapo Omotosho, Odunayo Josephine Akindote, Abimbola Oluwatoyin Adegbite, Sarah Kuzankah Ewuga
Cybersecurity risk assessment in banking is the process of identifying, analyzing, and evaluating the cyber threats and vulnerabilities that may affect the confidentiality, integrity, and availability of the information systems and data of banks and their customers. Cybersecurity risk assessment in banking helps banks to prioritize and implement appropriate controls and measures to mitigate the cyber risks and to comply with the relevant regulations and standards. This study focusses on identifying effective risk assessment strategies, highlighting how they can be adapted and applied in various banking environments, especially in developing economies like Nigeria. As the banking industry continues to evolve in the digital era, the significance of robust cybersecurity measures cannot be overstated. This paper delves into the critical domain of Cybersecurity Risk Assessment in Banking, exploring various methodologies and best practices employed to safeguard financial institutions against evolving cyber threats. The dynamic landscape of cyber risks faced by banks, ranging from sophisticated malware and phishing attacks to insider threats and system vulnerabilities are examined. The paper provides an in-depth analysis of established and emerging methodologies for conducting effective cybersecurity risk assessments in the banking sector. It explores quantitative and qualitative risk assessment approaches, threat modeling, and scenario analysis, shedding light on their respective strengths and limitations. Moreover, the document highlights the importance of aligning risk assessment methodologies with industry regulations and compliance standards to ensure a comprehensive and regulatory-compliant cybersecurity framework. Best practices for cybersecurity risk management in banking are scrutinized, emphasizing the integration of proactive threat intelligence, continuous monitoring, and incident response planning. The role of advanced technologies, including artificial intelligence and machine learning, in enhancing the efficiency of risk assessment processes is also discussed. Furthermore, the paper addresses the human element in cybersecurity, emphasizing the significance of training and awareness programs to mitigate risks associated with human error and social engineering attacks. By synthesizing insights from industry practices, regulatory guidelines, and technological advancements, this paper offers a comprehensive guide for banking professionals, cybersecurity practitioners, and policymakers involved in fortifying the resilience of financial institutions against cyber threats. Ultimately, the research aims to contribute to the ongoing discourse on cybersecurity risk assessment in banking, providing actionable insights to navigate the complex landscape of digital risks and ensuring the continued trust and security of the financial ecosystem. Keywords: Cybersecurity; Risk Assessment; Banking; Methodologies; Cyber Threat; Artificial Intelligence; Best
{"title":"CYBERSECURITY RISK ASSESSMENT IN BANKING: METHODOLOGIES AND BEST PRACTICES","authors":"Samuel Onimisi Dawodu, Adedolapo Omotosho, Odunayo Josephine Akindote, Abimbola Oluwatoyin Adegbite, Sarah Kuzankah Ewuga","doi":"10.51594/csitrj.v4i3.659","DOIUrl":"https://doi.org/10.51594/csitrj.v4i3.659","url":null,"abstract":"Cybersecurity risk assessment in banking is the process of identifying, analyzing, and evaluating the cyber threats and vulnerabilities that may affect the confidentiality, integrity, and availability of the information systems and data of banks and their customers. Cybersecurity risk assessment in banking helps banks to prioritize and implement appropriate controls and measures to mitigate the cyber risks and to comply with the relevant regulations and standards. This study focusses on identifying effective risk assessment strategies, highlighting how they can be adapted and applied in various banking environments, especially in developing economies like Nigeria. As the banking industry continues to evolve in the digital era, the significance of robust cybersecurity measures cannot be overstated. This paper delves into the critical domain of Cybersecurity Risk Assessment in Banking, exploring various methodologies and best practices employed to safeguard financial institutions against evolving cyber threats. The dynamic landscape of cyber risks faced by banks, ranging from sophisticated malware and phishing attacks to insider threats and system vulnerabilities are examined. The paper provides an in-depth analysis of established and emerging methodologies for conducting effective cybersecurity risk assessments in the banking sector. It explores quantitative and qualitative risk assessment approaches, threat modeling, and scenario analysis, shedding light on their respective strengths and limitations. Moreover, the document highlights the importance of aligning risk assessment methodologies with industry regulations and compliance standards to ensure a comprehensive and regulatory-compliant cybersecurity framework. Best practices for cybersecurity risk management in banking are scrutinized, emphasizing the integration of proactive threat intelligence, continuous monitoring, and incident response planning. The role of advanced technologies, including artificial intelligence and machine learning, in enhancing the efficiency of risk assessment processes is also discussed. Furthermore, the paper addresses the human element in cybersecurity, emphasizing the significance of training and awareness programs to mitigate risks associated with human error and social engineering attacks. By synthesizing insights from industry practices, regulatory guidelines, and technological advancements, this paper offers a comprehensive guide for banking professionals, cybersecurity practitioners, and policymakers involved in fortifying the resilience of financial institutions against cyber threats. Ultimately, the research aims to contribute to the ongoing discourse on cybersecurity risk assessment in banking, providing actionable insights to navigate the complex landscape of digital risks and ensuring the continued trust and security of the financial ecosystem. Keywords: Cybersecurity; Risk Assessment; Banking; Methodologies; Cyber Threat; Artificial Intelligence; Best","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"452 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139160868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-24DOI: 10.51594/csitrj.v4i3.661
Odunayo Josephine Akindote, Abimbola Oluwatoyin Adegbite, Samuel Onimisi Dawodu, Adedolapo Omotosho, Anthony Anyanwu
In an era where data is the new gold, understanding the evolution and future trajectory of data storage technologies is crucial. This paper delves into the transformative journey from traditional storage methods to contemporary paradigms like cloud and edge computing, underpinned by the burgeoning influence of Big Data, IoT, AI, and machine learning. The study's aim is to provide a comprehensive analysis of these technologies, assessing their development, efficacy, and the challenges they face in meeting the escalating demands of data storage. The methodology employed is a meticulous synthesis of literature reviews, case studies, and comparative analyses. This approach facilitates an in-depth exploration of the historical evolution of data storage, the paradigm shifts from cloud to edge computing, and the interplay between technological advancements and user demands. The study also scrutinizes the security concerns inherent in these technologies and identifies strategic directions for future research. Key findings reveal that while cloud computing has revolutionized data storage with its scalability and flexibility, edge computing emerges as a vital solution to latency and bandwidth limitations. The integration of AI and machine learning is identified as a pivotal factor in enhancing the efficiency and intelligence of data storage systems. However, this integration presents unique challenges, necessitating innovative solutions. Conclusively, the study recommends a continued focus on innovation in data storage technologies, emphasizing the development of integrated, secure, and efficient solutions. Future research should particularly explore the potential of AI and machine learning in overcoming current limitations. The paper's scope encompasses a comprehensive overview of the current state and future potential of data storage technologies, making it a valuable resource for researchers, technologists, and policymakers in the field. Keywords: Data Storage Technologies, Cloud Computing, Edge Computing, Big Data, Internet of Things (IoT), Artificial Intelligence (AI).
{"title":"INNOVATION IN DATA STORAGE TECHNOLOGIES: FROM CLOUD COMPUTING TO EDGE COMPUTING","authors":"Odunayo Josephine Akindote, Abimbola Oluwatoyin Adegbite, Samuel Onimisi Dawodu, Adedolapo Omotosho, Anthony Anyanwu","doi":"10.51594/csitrj.v4i3.661","DOIUrl":"https://doi.org/10.51594/csitrj.v4i3.661","url":null,"abstract":"In an era where data is the new gold, understanding the evolution and future trajectory of data storage technologies is crucial. This paper delves into the transformative journey from traditional storage methods to contemporary paradigms like cloud and edge computing, underpinned by the burgeoning influence of Big Data, IoT, AI, and machine learning. The study's aim is to provide a comprehensive analysis of these technologies, assessing their development, efficacy, and the challenges they face in meeting the escalating demands of data storage. The methodology employed is a meticulous synthesis of literature reviews, case studies, and comparative analyses. This approach facilitates an in-depth exploration of the historical evolution of data storage, the paradigm shifts from cloud to edge computing, and the interplay between technological advancements and user demands. The study also scrutinizes the security concerns inherent in these technologies and identifies strategic directions for future research. Key findings reveal that while cloud computing has revolutionized data storage with its scalability and flexibility, edge computing emerges as a vital solution to latency and bandwidth limitations. The integration of AI and machine learning is identified as a pivotal factor in enhancing the efficiency and intelligence of data storage systems. However, this integration presents unique challenges, necessitating innovative solutions. Conclusively, the study recommends a continued focus on innovation in data storage technologies, emphasizing the development of integrated, secure, and efficient solutions. Future research should particularly explore the potential of AI and machine learning in overcoming current limitations. The paper's scope encompasses a comprehensive overview of the current state and future potential of data storage technologies, making it a valuable resource for researchers, technologists, and policymakers in the field. Keywords: Data Storage Technologies, Cloud Computing, Edge Computing, Big Data, Internet of Things (IoT), Artificial Intelligence (AI).","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"2015 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139159897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-24DOI: 10.51594/csitrj.v4i3.658
Abimbola Oluwatoyin Adegbite, Deborah Idowu Akinwolemiwa, Prisca Ugomma Uwaoma, Simon Kaggwa, Odunayo Josephine Akindote, Samuel Onimisi Dawodu
This review analyses cybersecurity methods in the USA, focusing on protecting national infrastructure, with lessons and implications for global cybersecurity practices. In an era dominated by digital interconnectedness, the protection of national infrastructure from cyber threats is of paramount importance. This paper provides a comprehensive review of cybersecurity strategies employed by the United States to safeguard critical national infrastructure. As the nation's reliance on technology continues to grow, so does the complexity and sophistication of cyber threats. The paper examines key frameworks, policies, and initiatives implemented by the USA to fortify its critical infrastructure against cyber-attacks. It outlines the current threat landscape, the evolving nature of cyber threats and the potential consequences of successful attacks on critical sectors such as energy, transportation, and finance. It also analyzes the strategic approaches adopted by the USA, including the National Infrastructure Protection Plan (NIPP), the National Institute of Standards and Technology (NIST) Cybersecurity Framework, and collaborative efforts between the public and private sectors. The paper explores the role of government agencies, regulatory bodies, and private enterprises in implementing and enforcing cybersecurity measures. It assesses the effectiveness of information sharing initiatives, public-private partnerships, and international collaborations in enhancing the resilience of national infrastructure against cyber threats. Furthermore, the review addresses emerging technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) in the context of cybersecurity. It evaluates how these technologies are leveraged to detect, prevent, and respond to cyber threats in real-time, considering both their benefits and potential risks. Ethical considerations, privacy concerns, and challenges associated with the implementation of robust cybersecurity strategies are also discussed. The paper concludes with insights into the evolving nature of cyber threats and recommendations for continuous improvement in national cybersecurity strategies, emphasizing the need for agility, adaptability, and collaboration to stay ahead of an ever-changing threat landscape. This study contributes to the broader understanding of cybersecurity practices, offering insights that are not only relevant to the USA but also applicable to other nations facing similar challenges in safeguarding their critical infrastructure in an increasingly interconnected and digital world. Keywords: Cybersecurity, Strategies, Protecting, National Infrastructure, USA, NIST, Artificial Intelligence.
{"title":"REVIEW OF CYBERSECURITY STRATEGIES IN PROTECTING NATIONAL INFRASTRUCTURE: PERSPECTIVES FROM THE USA","authors":"Abimbola Oluwatoyin Adegbite, Deborah Idowu Akinwolemiwa, Prisca Ugomma Uwaoma, Simon Kaggwa, Odunayo Josephine Akindote, Samuel Onimisi Dawodu","doi":"10.51594/csitrj.v4i3.658","DOIUrl":"https://doi.org/10.51594/csitrj.v4i3.658","url":null,"abstract":"This review analyses cybersecurity methods in the USA, focusing on protecting national infrastructure, with lessons and implications for global cybersecurity practices. In an era dominated by digital interconnectedness, the protection of national infrastructure from cyber threats is of paramount importance. This paper provides a comprehensive review of cybersecurity strategies employed by the United States to safeguard critical national infrastructure. As the nation's reliance on technology continues to grow, so does the complexity and sophistication of cyber threats. The paper examines key frameworks, policies, and initiatives implemented by the USA to fortify its critical infrastructure against cyber-attacks. It outlines the current threat landscape, the evolving nature of cyber threats and the potential consequences of successful attacks on critical sectors such as energy, transportation, and finance. It also analyzes the strategic approaches adopted by the USA, including the National Infrastructure Protection Plan (NIPP), the National Institute of Standards and Technology (NIST) Cybersecurity Framework, and collaborative efforts between the public and private sectors. The paper explores the role of government agencies, regulatory bodies, and private enterprises in implementing and enforcing cybersecurity measures. It assesses the effectiveness of information sharing initiatives, public-private partnerships, and international collaborations in enhancing the resilience of national infrastructure against cyber threats. Furthermore, the review addresses emerging technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) in the context of cybersecurity. It evaluates how these technologies are leveraged to detect, prevent, and respond to cyber threats in real-time, considering both their benefits and potential risks. Ethical considerations, privacy concerns, and challenges associated with the implementation of robust cybersecurity strategies are also discussed. The paper concludes with insights into the evolving nature of cyber threats and recommendations for continuous improvement in national cybersecurity strategies, emphasizing the need for agility, adaptability, and collaboration to stay ahead of an ever-changing threat landscape. This study contributes to the broader understanding of cybersecurity practices, offering insights that are not only relevant to the USA but also applicable to other nations facing similar challenges in safeguarding their critical infrastructure in an increasingly interconnected and digital world. Keywords: Cybersecurity, Strategies, Protecting, National Infrastructure, USA, NIST, Artificial Intelligence.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"370 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139160709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-03DOI: 10.51594/csitrj.v4i3.629
Adebayo Olusegun Aderibigbe, Peter Efosa Ohenhen, Nwabueze Kelvin Nwaobia, Joachim Osheyor Gidiagba, Emmanuel Chigozie Ani
This paper examines the role of Artificial Intelligence (AI) in developing countries, focusing on bridging the gap between its vast potential and effective implementation. As AI technologies advance globally, their impact on socio-economic development becomes increasingly critical, particularly in regions with diverse challenges and opportunities. The study investigates the current landscape of AI adoption in developing countries, analyzing the potential benefits, challenges, and ethical considerations. Through a comprehensive review of literature and case studies, the paper explores strategies and solutions for harnessing AI's transformative power in diverse sectors such as healthcare, agriculture, and education. The findings emphasize the importance of capacity building, public-private partnerships, and tailored policy frameworks to address infrastructure limitations and skill gaps. The research contributes to a nuanced understanding of the opportunities and complexities surrounding AI implementation in developing countries, providing insights for policymakers, practitioners, and scholars seeking to navigate this evolving technological landscape Keywords: Artificial Intelligence; Global Connectivity; Emerging Technologies; Organizational Resilience; Sustainable Growth; Developing Country.
{"title":"ARTIFICIAL INTELLIGENCE IN DEVELOPING COUNTRIES: BRIDGING THE GAP BETWEEN POTENTIAL AND IMPLEMENTATION","authors":"Adebayo Olusegun Aderibigbe, Peter Efosa Ohenhen, Nwabueze Kelvin Nwaobia, Joachim Osheyor Gidiagba, Emmanuel Chigozie Ani","doi":"10.51594/csitrj.v4i3.629","DOIUrl":"https://doi.org/10.51594/csitrj.v4i3.629","url":null,"abstract":"This paper examines the role of Artificial Intelligence (AI) in developing countries, focusing on bridging the gap between its vast potential and effective implementation. As AI technologies advance globally, their impact on socio-economic development becomes increasingly critical, particularly in regions with diverse challenges and opportunities. The study investigates the current landscape of AI adoption in developing countries, analyzing the potential benefits, challenges, and ethical considerations. Through a comprehensive review of literature and case studies, the paper explores strategies and solutions for harnessing AI's transformative power in diverse sectors such as healthcare, agriculture, and education. The findings emphasize the importance of capacity building, public-private partnerships, and tailored policy frameworks to address infrastructure limitations and skill gaps. The research contributes to a nuanced understanding of the opportunities and complexities surrounding AI implementation in developing countries, providing insights for policymakers, practitioners, and scholars seeking to navigate this evolving technological landscape \u0000Keywords: Artificial Intelligence; Global Connectivity; Emerging Technologies; Organizational Resilience; Sustainable Growth; Developing Country.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"98 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The integration of blockchain technology into sustainable procurement processes has garnered significant attention in recent years, promising a transformative shift in ensuring transparency, traceability, and adherence to sustainability standards. This study embarked on a comprehensive exploration of the potential, effectiveness, challenges, and future implications of blockchain in the realm of sustainable procurement. Utilizing a rigorous methodology, the research delved into decentralized ledgers, smart contracts, and the inherent transparency offered by blockchain. Key findings highlighted the unparalleled potential of blockchain in enhancing trust and accountability among stakeholders, while also emphasizing the barriers to its widespread adoption, such as high implementation costs and the need for a paradigm shift in organizational culture. The study concludes with a forward-looking perspective, emphasizing the profound benefits organizations stand to gain by proactively embracing blockchain in their procurement processes. Recommendations underscore the importance of stakeholder education, pilot projects, and collaboration with regulatory bodies. As the landscape of sustainable procurement evolves, blockchain emerges as a pivotal tool in shaping its future. Keywords: Blockchain, Sustainable Procurement, Decentralized Ledgers, Smart Contracts, Transparency.
{"title":"HARNESSING BLOCKCHAIN FOR SUSTAINABLE PROCUREMENT: OPPORTUNITIES AND CHALLENGES","authors":"Bukola A. Odulaja, Kelechi Chidiebere Ihemereze, Ololade Gilbert Fakeyede, Adekunle Abiola Abdul, Damilola Emmanuel Ogedengbe, Chibuike Daraojimba","doi":"10.51594/csitrj.v4i3.619","DOIUrl":"https://doi.org/10.51594/csitrj.v4i3.619","url":null,"abstract":"The integration of blockchain technology into sustainable procurement processes has garnered significant attention in recent years, promising a transformative shift in ensuring transparency, traceability, and adherence to sustainability standards. This study embarked on a comprehensive exploration of the potential, effectiveness, challenges, and future implications of blockchain in the realm of sustainable procurement. Utilizing a rigorous methodology, the research delved into decentralized ledgers, smart contracts, and the inherent transparency offered by blockchain. Key findings highlighted the unparalleled potential of blockchain in enhancing trust and accountability among stakeholders, while also emphasizing the barriers to its widespread adoption, such as high implementation costs and the need for a paradigm shift in organizational culture. The study concludes with a forward-looking perspective, emphasizing the profound benefits organizations stand to gain by proactively embracing blockchain in their procurement processes. Recommendations underscore the importance of stakeholder education, pilot projects, and collaboration with regulatory bodies. As the landscape of sustainable procurement evolves, blockchain emerges as a pivotal tool in shaping its future. \u0000Keywords: Blockchain, Sustainable Procurement, Decentralized Ledgers, Smart Contracts, Transparency.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"21 S40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138623119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research paper explores the intricate realm of communicating IT audit findings, focusing on strategies for effective stakeholder engagement. The significance of IT audits in the contemporary digital landscape is underscored, emphasizing the need to translate technical assessments into actionable insights. The theoretical framework draws from the Technology Acceptance Model (TAM) and Stakeholder Theory, offering lenses to understand stakeholder engagement dynamics. The conceptual framework interconnects the nature of IT audits, communication strategies, and stakeholder engagement. Strategies highlighted include clear and concise reporting, tailoring communication to diverse stakeholders, leveraging visual aids and technology, establishing feedback mechanisms, and fostering a collaborative organizational culture. Benefits encompass informed decision-making, enhanced transparency, improved risk management, and strengthened stakeholder relationships. Barriers, such as technical jargon and resistance to change, are addressed to optimize communication effectiveness. The conclusion underscores the pivotal role of communication in IT audits, and recommendations provide a roadmap for organizations to navigate complexities and maximize the impact of IT audit findings on organizational resilience and strategic decision-making. Keywords: IT Audits, Stakeholder Engagement, Communication Strategies, Stakeholder Theory, Risk Management, Organizational Resilience.
本研究论文探讨了传达 IT 审计结果这一错综复杂的领域，重点是利益相关者有效参与的策略。论文强调了信息技术审计在当代数字环境中的重要性，强调了将技术评估转化为可操作见解的必要性。理论框架借鉴了技术接受模型（TAM）和利益相关者理论，为理解利益相关者的参与动态提供了视角。概念框架将信息技术审计的性质、沟通策略和利益相关者的参与联系在一起。重点强调的策略包括清晰简明的报告、针对不同利益相关者的沟通、利用视觉辅助工具和技术、建立反馈机制以及培养协作型组织文化。这样做的好处包括做出明智的决策、提高透明度、改善风险管理和加强利益相关者的关系。技术术语和变革阻力等障碍将得到解决，以优化沟通效果。结论强调了沟通在 IT 审计中的关键作用，而建议则为组织提供了一个路线图，使其能够驾驭复杂性，最大限度地发挥 IT 审计结果对组织复原力和战略决策的影响。 关键词IT审计、利益相关者参与、沟通策略、利益相关者理论、风险管理、组织复原力。
{"title":"COMMUNICATING IT AUDIT FINDINGS: STRATEGIES FOR EFFECTIVE STAKEHOLDER ENGAGEMENT","authors":"Monisola Oladeinde, Evelyn Chinedu Okeleke, Olubukola Rhoda Adaramodu, Ololade Gilbert Fakeyede, Oluwatoyin Ajoke Farayola","doi":"10.51594/csitrj.v4i2.612","DOIUrl":"https://doi.org/10.51594/csitrj.v4i2.612","url":null,"abstract":"This research paper explores the intricate realm of communicating IT audit findings, focusing on strategies for effective stakeholder engagement. The significance of IT audits in the contemporary digital landscape is underscored, emphasizing the need to translate technical assessments into actionable insights. The theoretical framework draws from the Technology Acceptance Model (TAM) and Stakeholder Theory, offering lenses to understand stakeholder engagement dynamics. The conceptual framework interconnects the nature of IT audits, communication strategies, and stakeholder engagement. Strategies highlighted include clear and concise reporting, tailoring communication to diverse stakeholders, leveraging visual aids and technology, establishing feedback mechanisms, and fostering a collaborative organizational culture. Benefits encompass informed decision-making, enhanced transparency, improved risk management, and strengthened stakeholder relationships. Barriers, such as technical jargon and resistance to change, are addressed to optimize communication effectiveness. The conclusion underscores the pivotal role of communication in IT audits, and recommendations provide a roadmap for organizations to navigate complexities and maximize the impact of IT audit findings on organizational resilience and strategic decision-making. Keywords: IT Audits, Stakeholder Engagement, Communication Strategies, Stakeholder Theory, Risk Management, Organizational Resilience.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"294 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139230061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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