Title
Artificial Neural Network-Based Stealth Attack on Battery Energy Storage Systems
Abstract
As the number of installed Battery Energy Storage Systems (BESSs) increases, the concerns related to possible cyber-attacks to these systems rise accordingly. The most of BESS owners knows their systems may be vulnerable, but they often consider only denial of service attacks in their risk assessment. Unfortunately, other, subtler and more dangerous attacks exist. In this paper we show that a stea...
Year
DOI
Venue
2021
10.1109/TSG.2021.3102833
IEEE Transactions on Smart Grid
Keywords
DocType
Volume
Inverters,Batteries,Power system stability,Security,Systems architecture,State of charge,Power conversion
Journal
12
Issue
ISSN
Citations 
6
1949-3053
1
PageRank 
References 
Authors
0.36
0
8