Studies from Department of Computer Science & Information Technology Have Provided New Information about Technology (Comprehensive Survey and Taxonomies of False Data Injection Attacks In Smart Grids: Attack Models, Targets, and Impacts)

2023 FEB 01 (NewsRx) -- By a News Reporter-Staff News Editor at Tech Daily News -- Data detailed on Technology have been presented. According to news reporting originating in Bundoora, Australia, by NewsRx journalists, research stated, “Smart Grid is organically growing over the centrally controlled power system and becoming a massively interconnected cyber-physical system with advanced technologies of fast communication and intelligence (such as Internet of Things, smart meters, and intelligent electronic devices). While the convergence of a significant number of cyber-physical elements has enabled the Smart Grid to be far more efficient and competitive in addressing the growing global energy challenges, it has also introduced a large number of vulnerabilities in the cyber-physical space culminating in violations of data availability, integrity, and confidentiality.”

The news reporters obtained a quote from the research from the Department of Computer Science & Information Technology, “Recently, false data injection (FDI) has become one of the most critical types of cyberattacks, and appears to be a focal point of interest for both research and industry. To this end, this paper presents a comprehensive review in the recent advances of the FDI attacks, with particular emphasis on adversarial models, attack targets, and impacts on the Smart Grid infrastructure. This review paper aims to provide a thorough understanding of the incumbent threats affecting the entir e spectrum of the Smart Grid. Related literature are analyzed and compared in terms of their theoretical and practical implications to the Smart Grid cybersecurity.”

According to the news reporters, the research concluded: “A vast range of technical limitations of existing false data attack research is identified, and a number of futu r e research directions is recommended.”

This research has been peer-reviewed.

For more information on this research see: Comprehensive Survey and Taxonomies of False Data Injection Attacks In Smart Grids: Attack Models, Targets, and Impacts. Renewable and Sustainable Energy Reviews, 2022;163:112423. Renewable and Sustainable Energy Reviews can be contacted at: Pergamon-elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Renewable and Sustainable Energy Reviews - http://www.journals.elsevier.com/renewable-and-sustainable-energy-reviews/)

Our news correspondents report that additional information may be obtained by contacting Haftu Tasew Reda, Trobe Univ, Dept. of Computer Science & Information Technology, Plenty Rd, Bundoora, Vic 3086, Australia. Additional authors for this research include Abdun Mahmood and Adnan Anwar.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.rser.2022.112423. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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