Pub Date : 2021-09-29DOI: 10.1109/3ICT53449.2021.9582035
F. Albalooshi, Abdulla Ashoor Helal, Seema Ahmed Al Mahmood
Many public services offered by the government require personal attendance, which involves gathering in a waiting area to be fairly served on a first-come, first-served basis, i.e., queueing, or pre-booked appointments. Over time, there have been improvements to the process by providing electronic systems that generate sequenced numbers to ensure fairness. Other advances have also led to enhancements of the waiting area environment to make it more relaxing and hospitable. Such efforts have been successful to some extent, but still, they rely on the customers' physical presence in a waiting area. The recent crisis due to the COVID19 pandemic and the necessity for everyone to observe social distancing posed a new challenge. The space provided by the waiting areas has become insufficient. On several occasions, it has been noticed that people had to break social distancing restrictions due to space limitations to complete a public service, causing health risks to themselves and others, including service staff. Such risks are propagated in healthcare facilities involving diseased, sick, and reduced immunity people. To address this new challenge and provide a more compliant environment for social distancing restrictions, a design-thinking approach is used to design a digital service to address social distancing while queuing/waiting in public healthcare centres in the Kingdom of Bahrain. The proposed solution enhances the queuing process and reduces the dependency on physical presence within the waiting area in exchange for a much dynamic digital application. The application enables customers to enter the queue remotely and synchronize their physical location and attendance with the service availability time and distance, allowing customers to utilize their time better and even being physically elsewhere. At the same time, they are still counted on the service queue. The system determines who should be available at the waiting area according to space and service availability, ensuring fairness. This solution is expected to reduce the number of people physically available at the service area; thus, social distancing can be better observed. At the same time, the solution provides customers with a waiting location of their choice and comfort; and is expected to increase customers' service satisfaction while maintaining their safety.
{"title":"Social Distancing Compliant Virtual Queuing System for Public Services","authors":"F. Albalooshi, Abdulla Ashoor Helal, Seema Ahmed Al Mahmood","doi":"10.1109/3ICT53449.2021.9582035","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9582035","url":null,"abstract":"Many public services offered by the government require personal attendance, which involves gathering in a waiting area to be fairly served on a first-come, first-served basis, i.e., queueing, or pre-booked appointments. Over time, there have been improvements to the process by providing electronic systems that generate sequenced numbers to ensure fairness. Other advances have also led to enhancements of the waiting area environment to make it more relaxing and hospitable. Such efforts have been successful to some extent, but still, they rely on the customers' physical presence in a waiting area. The recent crisis due to the COVID19 pandemic and the necessity for everyone to observe social distancing posed a new challenge. The space provided by the waiting areas has become insufficient. On several occasions, it has been noticed that people had to break social distancing restrictions due to space limitations to complete a public service, causing health risks to themselves and others, including service staff. Such risks are propagated in healthcare facilities involving diseased, sick, and reduced immunity people. To address this new challenge and provide a more compliant environment for social distancing restrictions, a design-thinking approach is used to design a digital service to address social distancing while queuing/waiting in public healthcare centres in the Kingdom of Bahrain. The proposed solution enhances the queuing process and reduces the dependency on physical presence within the waiting area in exchange for a much dynamic digital application. The application enables customers to enter the queue remotely and synchronize their physical location and attendance with the service availability time and distance, allowing customers to utilize their time better and even being physically elsewhere. At the same time, they are still counted on the service queue. The system determines who should be available at the waiting area according to space and service availability, ensuring fairness. This solution is expected to reduce the number of people physically available at the service area; thus, social distancing can be better observed. At the same time, the solution provides customers with a waiting location of their choice and comfort; and is expected to increase customers' service satisfaction while maintaining their safety.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":" 19","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132187802","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 : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581943
Dilber Cetintas, Taner Tuncer Firat
The eyes are a rich source of information about mental activities as well as providing the perception of the outside world. Because they cannot be consciously controlled, they can reveal unique characteristics such as preferences and intentions. For this reason, eye-tracking technology is widely used in medicine, gaming, and commercial applications. In this study, an estimate of what type of text is read was made using the analysis of eye movements during daily reading activity. In the study, deep learning approaches were preferred due to the insufficient results of machine learning approaches before. Multiplexing was performed using a dataset with 52 features consisting of 20 participants (10 males, 10 females). 627 data were obtained as a result of multiplexing from 20 data. As a result of the creation of visual representations (spectrograms) of the data produced in sufficient numbers and processing with deep learning architectures, a good success rate of 97.88% was achieved with AlexNet. While the best values in news and text types were obtained with AlexNet and Resnet101, better results were produced with ResNet18 and ResNet50 in comedy with high visual content. It was noticed that the success rate in women was higher in documents with visual content.
{"title":"Eye-Tracking Analysis with Deep Learning Method","authors":"Dilber Cetintas, Taner Tuncer Firat","doi":"10.1109/3ICT53449.2021.9581943","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581943","url":null,"abstract":"The eyes are a rich source of information about mental activities as well as providing the perception of the outside world. Because they cannot be consciously controlled, they can reveal unique characteristics such as preferences and intentions. For this reason, eye-tracking technology is widely used in medicine, gaming, and commercial applications. In this study, an estimate of what type of text is read was made using the analysis of eye movements during daily reading activity. In the study, deep learning approaches were preferred due to the insufficient results of machine learning approaches before. Multiplexing was performed using a dataset with 52 features consisting of 20 participants (10 males, 10 females). 627 data were obtained as a result of multiplexing from 20 data. As a result of the creation of visual representations (spectrograms) of the data produced in sufficient numbers and processing with deep learning architectures, a good success rate of 97.88% was achieved with AlexNet. While the best values in news and text types were obtained with AlexNet and Resnet101, better results were produced with ResNet18 and ResNet50 in comedy with high visual content. It was noticed that the success rate in women was higher in documents with visual content.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114714641","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 : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581666
Sumera Ahmad, S. Miskon
In the era of Industry 4.0, the rapid emergence of cloud computing and Internet of Things (IoT) have thrived the organizations and businesses with explosive growth of data. Artificial intelligence (AI) and Machine Learning (ML) becomes the hot topic that attracts organizations, industry, businesses, and academia at extensive level. In this article, AI defined briefly with its value and dimensions in the perspective of Industry 4.0. An exploratory qualitative study is conducted to understand the interest of phenomenon. Specifically, great challenges are discussed with possible solutions. Explored AI aspects would be helpful to contribute the success of AI projects.
{"title":"Steps Towards Successful Artificial Intelligence Integration in the Era of Industry 4.0","authors":"Sumera Ahmad, S. Miskon","doi":"10.1109/3ICT53449.2021.9581666","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581666","url":null,"abstract":"In the era of Industry 4.0, the rapid emergence of cloud computing and Internet of Things (IoT) have thrived the organizations and businesses with explosive growth of data. Artificial intelligence (AI) and Machine Learning (ML) becomes the hot topic that attracts organizations, industry, businesses, and academia at extensive level. In this article, AI defined briefly with its value and dimensions in the perspective of Industry 4.0. An exploratory qualitative study is conducted to understand the interest of phenomenon. Specifically, great challenges are discussed with possible solutions. Explored AI aspects would be helpful to contribute the success of AI projects.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124289688","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 : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581834
Jayde Paolo C. Mirandilla, E. Magsino, G. Arada, R. Gustilo
Road intersections are good locations for implementing a smart and adaptive traffic management system depending on the current traffic situation. To allow these junctions to regulate vehicular flow in a coordinated manner, accurate and up-to-date data exchange between infrastructure and intelligent vehicles must be considered. To address the traffic management problem of an urban section, this study proposes a traffic management scheme for a two-way, four-road segment, and low-density intersections (TMS-2W4R) that enables real-time information exchange between intelligent vehicles and roadside unit (RSU) to facilitate an adaptive and smooth transition of vehicles at an intersection. TMS-2W4R receives vehicular direction demands and satisfies their requests by utilizing the index coding-based transmission scheme. Our simulation results show that applying TMS-2W4R at every roadside unit (RSU) can improve the road map data dissemination along with its direction request by 71% in terms of transmitted data size. Through our analysis, we have also shown the adaptability and flexibility of TMS-2W4R with respect to the current traffic scenario at the junction.
{"title":"A Heuristic and Decentralized Approach to Intelligent Traffic Management for Low-Density Road Junctions","authors":"Jayde Paolo C. Mirandilla, E. Magsino, G. Arada, R. Gustilo","doi":"10.1109/3ICT53449.2021.9581834","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581834","url":null,"abstract":"Road intersections are good locations for implementing a smart and adaptive traffic management system depending on the current traffic situation. To allow these junctions to regulate vehicular flow in a coordinated manner, accurate and up-to-date data exchange between infrastructure and intelligent vehicles must be considered. To address the traffic management problem of an urban section, this study proposes a traffic management scheme for a two-way, four-road segment, and low-density intersections (TMS-2W4R) that enables real-time information exchange between intelligent vehicles and roadside unit (RSU) to facilitate an adaptive and smooth transition of vehicles at an intersection. TMS-2W4R receives vehicular direction demands and satisfies their requests by utilizing the index coding-based transmission scheme. Our simulation results show that applying TMS-2W4R at every roadside unit (RSU) can improve the road map data dissemination along with its direction request by 71% in terms of transmitted data size. Through our analysis, we have also shown the adaptability and flexibility of TMS-2W4R with respect to the current traffic scenario at the junction.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122999720","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 : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581665
Malak Ahmad, N. Moubayed
In this paper, the concept of building's energy and power demand is highlighted and an overview of all the recent possible control strategies, available in the literature, is classified and presented. It also illustrates the sub-types of each strategy in aiming to simplify the difference between them. Moreover, a detailed table of prioritized indicators is suggested to finally select the best fitting strategy of energy management controllers.
{"title":"A Comparative Review of Energy Management Controllers in Building","authors":"Malak Ahmad, N. Moubayed","doi":"10.1109/3ICT53449.2021.9581665","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581665","url":null,"abstract":"In this paper, the concept of building's energy and power demand is highlighted and an overview of all the recent possible control strategies, available in the literature, is classified and presented. It also illustrates the sub-types of each strategy in aiming to simplify the difference between them. Moreover, a detailed table of prioritized indicators is suggested to finally select the best fitting strategy of energy management controllers.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122803043","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 : 2021-09-29DOI: 10.1109/3ICT53449.2021.9582096
A. Pagano, A. Marengo
Digital Learning is rapidly evolving and adapting to new learning needs. In every field of daily life, training is a fundamental asset to achieve any goals. Modern e-learning systems aim to make learning quick and effective. The training courses are often delivered sequentially, and there is a high waste of time since learners must attend lessons on topics they already master. This research aims to demonstrate that an Adaptive Learning Strategy can optimize training by drastically reducing the throughput time of the learning path, avoiding time-wasting, and maintaining a high level of learner engagement. Those goals will be reached using a learning management system platform and an adaptive learning algorithm on a modular course to build up and deliver personalized learning paths, recognizing the prior knowledge of each user. Adaptive Learning Strategy allows the learner to optimize his/her training achieving the learning goals in a shorter time. He/she will not have to attend topics he already demonstrates to have a complete knowledge level.
{"title":"Training Time Optimization through Adaptive Learning Strategy","authors":"A. Pagano, A. Marengo","doi":"10.1109/3ICT53449.2021.9582096","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9582096","url":null,"abstract":"Digital Learning is rapidly evolving and adapting to new learning needs. In every field of daily life, training is a fundamental asset to achieve any goals. Modern e-learning systems aim to make learning quick and effective. The training courses are often delivered sequentially, and there is a high waste of time since learners must attend lessons on topics they already master. This research aims to demonstrate that an Adaptive Learning Strategy can optimize training by drastically reducing the throughput time of the learning path, avoiding time-wasting, and maintaining a high level of learner engagement. Those goals will be reached using a learning management system platform and an adaptive learning algorithm on a modular course to build up and deliver personalized learning paths, recognizing the prior knowledge of each user. Adaptive Learning Strategy allows the learner to optimize his/her training achieving the learning goals in a shorter time. He/she will not have to attend topics he already demonstrates to have a complete knowledge level.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124847225","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 : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581821
Asrat Gedefa Yadessa, Ayodeji Olalekan Salau
One of the most effective solutions in the preventive endeavors for infectious diseases such as the COVID-19 pandemic is the application of frequent hand washing. In developing countries, there are several low cost touch-free hand washing solutions involving the use of foot operated mechanisms. However, the use of embedded processors in the design of automatic electronic systems to provide convenience and smarter solutions has in recent times gained unique attention globally. In this paper, we employed an Arduino based microcontroller as processor and ultrasonic based distance sensors to implement a touch-free hand washing mechanism. The microcontroller processes received sensor signals and sends desired command signals to operate two DC motors. A DC pump and servo motor are used to facilitate simple yet effective dispensation of water and soap respectively without any physical contact with the user. The simulation of the developed system was performed with Proteus. The system is also experimentally verified to meet the desired design requirements.
{"title":"Low Cost Sensor Based Hand Washing Solution for COVID-19 Prevention","authors":"Asrat Gedefa Yadessa, Ayodeji Olalekan Salau","doi":"10.1109/3ICT53449.2021.9581821","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581821","url":null,"abstract":"One of the most effective solutions in the preventive endeavors for infectious diseases such as the COVID-19 pandemic is the application of frequent hand washing. In developing countries, there are several low cost touch-free hand washing solutions involving the use of foot operated mechanisms. However, the use of embedded processors in the design of automatic electronic systems to provide convenience and smarter solutions has in recent times gained unique attention globally. In this paper, we employed an Arduino based microcontroller as processor and ultrasonic based distance sensors to implement a touch-free hand washing mechanism. The microcontroller processes received sensor signals and sends desired command signals to operate two DC motors. A DC pump and servo motor are used to facilitate simple yet effective dispensation of water and soap respectively without any physical contact with the user. The simulation of the developed system was performed with Proteus. The system is also experimentally verified to meet the desired design requirements.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125368715","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 : 2021-09-29DOI: 10.1109/3ICT53449.2021.9582025
R. Abu-Shanab, Abdulghani Al-Hattami, Nahed Salman, Abdullah Ahmed
The spread of the Covid-19 virus has obligated many organizations to restructure the means to conduct daily tasks and responsibilities. Employees were given the possibility of providing the service online from homes. Nevertheless, their work performance needs to be assessed using a transparent and fair policy. This paper is based on previous research from Bahrain Institute of Public Administration (BIPA), which measures the impact of the COVID-19 pandemic on employee performance in the public sector of the Kingdom of Bahrain, especially those employees who graduated from the National Program for the Development of Governmental Leadership. The purpose of this paper is to study the effectiveness of the current appraisal system in measuring the performance of employees remotely in the public sector. The researchers used a mixed-method approach. A questionnaire was developed and validated to collect data. The results show that the majority of respondents believe that the evaluation process needs to be revised and improved to align it with the organization's vision and mission. The current appraisal system is not motivating and therefore somehow ineffective. Results from this study are beneficial to the Kingdom's public sector to adequately set an effective method of evaluating the employees' performance. The paper highlighted the importance of the involvement of all stakeholders to strategically develop the plans and objectives of the organization, which should reflect on the overall goals of the firm.
{"title":"The Effectiveness of the Performance Appraisal of Public Sector Employees During Covid-19 Pandemic","authors":"R. Abu-Shanab, Abdulghani Al-Hattami, Nahed Salman, Abdullah Ahmed","doi":"10.1109/3ICT53449.2021.9582025","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9582025","url":null,"abstract":"The spread of the Covid-19 virus has obligated many organizations to restructure the means to conduct daily tasks and responsibilities. Employees were given the possibility of providing the service online from homes. Nevertheless, their work performance needs to be assessed using a transparent and fair policy. This paper is based on previous research from Bahrain Institute of Public Administration (BIPA), which measures the impact of the COVID-19 pandemic on employee performance in the public sector of the Kingdom of Bahrain, especially those employees who graduated from the National Program for the Development of Governmental Leadership. The purpose of this paper is to study the effectiveness of the current appraisal system in measuring the performance of employees remotely in the public sector. The researchers used a mixed-method approach. A questionnaire was developed and validated to collect data. The results show that the majority of respondents believe that the evaluation process needs to be revised and improved to align it with the organization's vision and mission. The current appraisal system is not motivating and therefore somehow ineffective. Results from this study are beneficial to the Kingdom's public sector to adequately set an effective method of evaluating the employees' performance. The paper highlighted the importance of the involvement of all stakeholders to strategically develop the plans and objectives of the organization, which should reflect on the overall goals of the firm.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124399205","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 : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581845
Mohamed S. Khalafalla, K. Cardinal, J. Rueda-Benavides, Mazin Karim
A cumulative sum (CUSUM) is a method used to identify significant changes in data trends using the cumulative sum of deviations from a predefined targeted value. The current process can only detect changes in horizontal trends relying on visual inspection. The paper presents a modified method to detect upward and downward trends using a data transformation algorithm. The algorithm automates the detection process and overcomes the need for visual inspection. The technique enhances and prompts the ability of stakeholders to anticipate fluctuations in large data sets and make informed decisions.
{"title":"Modified Version of the Cumulative Sum Statistical Analysis Method","authors":"Mohamed S. Khalafalla, K. Cardinal, J. Rueda-Benavides, Mazin Karim","doi":"10.1109/3ICT53449.2021.9581845","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581845","url":null,"abstract":"A cumulative sum (CUSUM) is a method used to identify significant changes in data trends using the cumulative sum of deviations from a predefined targeted value. The current process can only detect changes in horizontal trends relying on visual inspection. The paper presents a modified method to detect upward and downward trends using a data transformation algorithm. The algorithm automates the detection process and overcomes the need for visual inspection. The technique enhances and prompts the ability of stakeholders to anticipate fluctuations in large data sets and make informed decisions.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130565804","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 : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581404
J. Hussain, Vanlalruata Hnamte
Over the last few years, Software Defined Networking (SDN) has brought forward a potential software-based networking framework that, with the existing network management system, allows for the network programming to operate alongside the overall network management system. Tracking data to the data centre is more effective with this new method. It prevents security flaws from causing new threats to appear in the network since these vulnerabilities will only reveal themselves at the time of OpenFlow packet transmission via a centralized system and symmetric controller. A study was conducted for a Deep Learning (DL) based approach that is proposed to be implemented on SDN. The Deep Neural Network model is used to monitor network activity for both regular and anomalous data transfer to check for malicious traffic. A dataset of IDS, publicly accessible, KDD-CUP99, NSL-KDD and UNSW-NB15 Dataset are used to determine the possible behaviour of security flaws. The study explores SDN security and IDS about security concerns and also gives a very high and acceptable accuracy rate.
{"title":"A Novel Deep Learning Based Intrusion Detection System : Software Defined Network","authors":"J. Hussain, Vanlalruata Hnamte","doi":"10.1109/3ICT53449.2021.9581404","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581404","url":null,"abstract":"Over the last few years, Software Defined Networking (SDN) has brought forward a potential software-based networking framework that, with the existing network management system, allows for the network programming to operate alongside the overall network management system. Tracking data to the data centre is more effective with this new method. It prevents security flaws from causing new threats to appear in the network since these vulnerabilities will only reveal themselves at the time of OpenFlow packet transmission via a centralized system and symmetric controller. A study was conducted for a Deep Learning (DL) based approach that is proposed to be implemented on SDN. The Deep Neural Network model is used to monitor network activity for both regular and anomalous data transfer to check for malicious traffic. A dataset of IDS, publicly accessible, KDD-CUP99, NSL-KDD and UNSW-NB15 Dataset are used to determine the possible behaviour of security flaws. The study explores SDN security and IDS about security concerns and also gives a very high and acceptable accuracy rate.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131835441","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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