Title
Survey of false data injection in smart power grid: Attacks, countermeasures and challenges
Abstract
False Data Injection Attack (FDIA) is one of the most dangerous cyber attacks against smart power grids, as it could cause severe physical and economic damage. In this paper, we review and compare previous surveys on FDIA, which mostly focus only on the state estimation component. Differently, our survey describes the FDIAs that target the different components of the on-line power system security. It also provides two novel attack classifications. The first classification categorizes the different FDIAs with respect to three levels: targeted systems at the first level, targeted subsystems at the second level, and the attacks targeting the subsystems at the third level. The second classification considers two criteria: targeted sub system and the impact of the attack, which can be physical and/or economic. The countermeasures are classified according to two dimensions: (i) the targeted subsystem and (ii) the class of countermeasure: preventive or detective. Both preventive and detective classes are further categorized according to different approaches. In addition, the countermeasures are presented along with their performance results. Finally, open issues are identified, and future research directions are recommended.
Year
DOI
Venue
2020
10.1016/j.jisa.2020.102518
Journal of Information Security and Applications
Keywords
DocType
Volume
False data injection attack,smart grid,Energy management system,On-line power system security,Energy theft,State estimation
Journal
54
ISSN
Citations 
PageRank 
2214-2126
2
0.36
References 
Authors
0
3
Name
Order
Citations
PageRank
Aoufi Souhila120.36
Abdelouahid Derhab227732.68
Mohamed. Guerroumi3367.17