Pub Date : 1900-01-01DOI: 10.4018/978-1-7998-2910-2.ch001
M. Stojanović, Slavica V. Boštjančič Rakas
This chapter explores challenges in securing industrial control systems (ICS) and Supervisory Control And Data Acquisition (SCADA) systems using Future Internet technologies. These technologies include cloud computing, fog computing, Industrial internet of things (IIoT), etc. The need to design specific security solutions for ICS/SCADA networks is explained. A brief overview of cyber vulnerabilities and threats in industrial control networks, cloud, and IoT environments is presented. The security of cloud-based SCADA systems is considered, including benefits and risks of SCADA migration to the cloud, challenges in securing such systems, and migration toward fog computing. Challenges in securing IIoT are addressed, including security risks and operational issues, key principles for securing IIoT, the functional security architecture, and the role of fog computing. Authors point out current standardization activities and trends in the area, and emphasize conclusions and future research directions.
{"title":"Challenges in Securing Industrial Control Systems Using Future Internet Technologies","authors":"M. Stojanović, Slavica V. Boštjančič Rakas","doi":"10.4018/978-1-7998-2910-2.ch001","DOIUrl":"https://doi.org/10.4018/978-1-7998-2910-2.ch001","url":null,"abstract":"This chapter explores challenges in securing industrial control systems (ICS) and Supervisory Control And Data Acquisition (SCADA) systems using Future Internet technologies. These technologies include cloud computing, fog computing, Industrial internet of things (IIoT), etc. The need to design specific security solutions for ICS/SCADA networks is explained. A brief overview of cyber vulnerabilities and threats in industrial control networks, cloud, and IoT environments is presented. The security of cloud-based SCADA systems is considered, including benefits and risks of SCADA migration to the cloud, challenges in securing such systems, and migration toward fog computing. Challenges in securing IIoT are addressed, including security risks and operational issues, key principles for securing IIoT, the functional security architecture, and the role of fog computing. Authors point out current standardization activities and trends in the area, and emphasize conclusions and future research directions.","PeriodicalId":254993,"journal":{"name":"Cyber Security of Industrial Control Systems in the Future Internet Environment","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131647851","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 : 1900-01-01DOI: 10.4018/978-1-7998-2910-2.ch007
S. Milić
This chapter provides a complex data analysis of critical infrastructure SCADA vulnerabilities and exploits using fuzzy-decision algorithms. These algorithms are presented in two case studies describing possible scenarios of the cyber attack on two vital multi-parameter remote monitoring systems. The main objects of the cyber attack analysis are data obtained from their common SCADA system. The main focus is on multiparameter remote monitoring systems for monitoring electricity production and water traffic processes in the lock of hydropower plant. Newly developed fuzzy decision algorithms for comprehensive data analysis are presented to recognize the cyber attack. The results of the fuzzy modeling are directly dependent on the complex choice of the if-then rules on the basis of which decisions are made. In addition, two fuzzy logic systems (FLS-T1 and FLS-T2) are used for modeling several cyber attack scenarios.
{"title":"Fuzzy-Decision Algorithms for Cyber Security Analysis of Advanced SCADA and Remote Monitoring Systems","authors":"S. Milić","doi":"10.4018/978-1-7998-2910-2.ch007","DOIUrl":"https://doi.org/10.4018/978-1-7998-2910-2.ch007","url":null,"abstract":"This chapter provides a complex data analysis of critical infrastructure SCADA vulnerabilities and exploits using fuzzy-decision algorithms. These algorithms are presented in two case studies describing possible scenarios of the cyber attack on two vital multi-parameter remote monitoring systems. The main objects of the cyber attack analysis are data obtained from their common SCADA system. The main focus is on multiparameter remote monitoring systems for monitoring electricity production and water traffic processes in the lock of hydropower plant. Newly developed fuzzy decision algorithms for comprehensive data analysis are presented to recognize the cyber attack. The results of the fuzzy modeling are directly dependent on the complex choice of the if-then rules on the basis of which decisions are made. In addition, two fuzzy logic systems (FLS-T1 and FLS-T2) are used for modeling several cyber attack scenarios.","PeriodicalId":254993,"journal":{"name":"Cyber Security of Industrial Control Systems in the Future Internet Environment","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125966924","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 : 1900-01-01DOI: 10.4018/978-1-7998-2910-2.ch013
G. Arroyo-Figueroa, Isai Rojas-Gonzalez, J. A. Hernández-Aguilar
Internet of energy (IoE) is the natural evolution of Smart Grid incorporating the paradigm of internet of things (IoT). This complicated environment has a lot of threats and vulnerabilities, so the security challenges are very complex and specialized. This chapter contains a compilation of the main threats, vulnerabilities, and attacks that can occur in the IoE environment and the critical structure of the electrical grid. The objective is to show the best cybersecurity practices that can support maintaining a safe, reliable, and available electrical network complying with the requirements of availability, integrity, and confidentially of the information. The study includes review of countermeasures, standards, and specialized intrusion detection systems, as mechanisms to solve security problems in IoE. Better understanding of security challenges and solutions in the IoE can be the light on future research work for IoE security.
{"title":"A Compressive Compilation of Cyber Security for Internet of Energy (IoE)","authors":"G. Arroyo-Figueroa, Isai Rojas-Gonzalez, J. A. Hernández-Aguilar","doi":"10.4018/978-1-7998-2910-2.ch013","DOIUrl":"https://doi.org/10.4018/978-1-7998-2910-2.ch013","url":null,"abstract":"Internet of energy (IoE) is the natural evolution of Smart Grid incorporating the paradigm of internet of things (IoT). This complicated environment has a lot of threats and vulnerabilities, so the security challenges are very complex and specialized. This chapter contains a compilation of the main threats, vulnerabilities, and attacks that can occur in the IoE environment and the critical structure of the electrical grid. The objective is to show the best cybersecurity practices that can support maintaining a safe, reliable, and available electrical network complying with the requirements of availability, integrity, and confidentially of the information. The study includes review of countermeasures, standards, and specialized intrusion detection systems, as mechanisms to solve security problems in IoE. Better understanding of security challenges and solutions in the IoE can be the light on future research work for IoE security.","PeriodicalId":254993,"journal":{"name":"Cyber Security of Industrial Control Systems in the Future Internet Environment","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131314729","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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