Title
RAINCOAT: RAndomization of Network Communication in Power Grid Cyber INfrastructure to Mislead Attackers
Abstract
Though attackers aim to introduce different physical perturbations on power grids, they need to rely on periodic data acquisitions performed by control centers to estimate the physical state of the grid and thus to prepare for destructive activities. In this paper, we present Raincoat, which randomizes data acquisitions to disrupt and mislead attackers’ preparations. We transform one data acquisition into multiple rounds. In each round, we dynamically manipulate network flows in the control networks so that randomly selected “online” devices respond with real measurements. Meanwhile, we intelligently spoof measurements for other “offline” devices to mislead attackers into designing ineffective strategies. Based on experiments using large-scale power systems and six real wide area networks, Raincoat is effective against false data injection and control-related attacks with small overhead. The probability of successful attacks can be reduced from 70% to 1%; attacks introduce little damage even if they are executed. Network latency of data acquisition increases on average by less than 6%.
Year
DOI
Venue
2019
10.1109/tsg.2018.2870362
IEEE Transactions on Smart Grid
Keywords
Field
DocType
Data acquisition,Substations,Control systems,Transmission line measurements,State estimation,Power measurement
Flow network,Latency (engineering),Computer security,Data acquisition,Electric power system,Electronic engineering,SCADA,Engineering,Control system,Software-defined networking,Grid
Journal
Volume
Issue
ISSN
10
5
1949-3053
Citations 
PageRank 
References 
1
0.35
0
Authors
3
Name
Order
Citations
PageRank
Hui Lin1876.26
Zbigniew Kalbarczyk21896159.48
Ravishankar K. Iyer33489504.32