Security Risk Modeling in Smart Grid Critical Infrastructures in the Era of Big Data and Artificial Intelligence
Open Access
- 15 March 2021
- journal article
- review article
- Published by MDPI AG in Sustainability
- Vol. 13 (6), 3196
- https://doi.org/10.3390/su13063196
Abstract
Smart grids (SG) emerged as a response to the need to modernize the electricity grid. The current security tools are almost perfect when it comes to identifying and preventing known attacks in the smart grid. Still, unfortunately, they do not quite meet the requirements of advanced cybersecurity. Adequate protection against cyber threats requires a whole set of processes and tools. Therefore, a more flexible mechanism is needed to examine data sets holistically and detect otherwise unknown threats. This is possible with big modern data analyses based on deep learning, machine learning, and artificial intelligence. Machine learning, which can rely on adaptive baseline behavior models, effectively detects new, unknown attacks. Combined known and unknown data sets based on predictive analytics and machine intelligence will decisively change the security landscape. This paper identifies the trends, problems, and challenges of cybersecurity in smart grid critical infrastructures in big data and artificial intelligence. We present an overview of the SG with its architectures and functionalities and confirm how technology has configured the modern electricity grid. A qualitative risk assessment method is presented. The most significant contributions to the reliability, safety, and efficiency of the electrical network are described. We expose levels while proposing suitable security countermeasures. Finally, the smart grid’s cybersecurity risk assessment methods for supervisory control and data acquisition are presented.Keywords
This publication has 98 references indexed in Scilit:
- Interoperability issues on heterogeneous wireless communication for smart citiesComputer Communications, 2015
- Detection and Prevention of Black Hole Attacks in Mobile Ad hoc NetworksPublished by Springer Science and Business Media LLC ,2015
- Experimenting with Incentives: Security in Pilots for Future GridsIEEE Security & Privacy, 2014
- Con-Resistant Trust for Improved Reliability in a Smart-Grid Special Protection SystemIEEE Transactions on Power Delivery, 2014
- Security Issues and Challenges for the IoT-based Smart GridProcedia Computer Science, 2014
- Cyber-physical security of Wide-Area Monitoring, Protection and Control in a smart grid environmentJournal of Advanced Research, 2013
- FEMAN: Fuzzy-Based Energy Management System for Green Houses Using Hybrid Grid Solar PowerJournal of Renewable Energy, 2013
- Cyber security in the Smart Grid: Survey and challengesComputer Networks, 2013
- Smart meters for power grid: Challenges, issues, advantages and statusRenewable and Sustainable Energy Reviews, 2011
- From spam filtering to information retrieval and back: Seeking conceptual foundations for spam filteringProceedings of the American Society for Information Science and Technology, 2005