Approximate Power Grid Protection Against False Data Injection Attacks

A family of new attacks have been found against power grid systems recently which are capable of affecting power grids without being detectable via conventional means. Though powerful, the attacks rely on the attacker having complete knowledge of the power grid system. This work will evaluate the power grid resiliency countering such attacks when an attacker does not have such complete knowledge. More specifically, this paper examines the rerouting that already commonly occurs in power systems as an inherent defense against this particular class of attacks by increasing the power grid topology complexity. An algorithm is developed to calculate the probability of a successful attack given a particular topology and configuration of circuit breakers. The experimental results demonstrate that the existence of defense circuit breakers in a power grid system can lead to substantial improvements in security.

[1]  Gabriela Hug,et al.  Vulnerability Assessment of AC State Estimation With Respect to False Data Injection Cyber-Attacks , 2012, IEEE Transactions on Smart Grid.

[2]  Klara Nahrstedt,et al.  Detecting False Data Injection Attacks on DC State Estimation , 2010 .

[3]  Jian-Wei Wang,et al.  Cascade-based attack vulnerability on the US power grid. , 2009 .

[4]  Bo Tang,et al.  Detection of false data injection attacks in smart grid under colored Gaussian noise , 2016, 2016 IEEE Conference on Communications and Network Security (CNS).

[5]  Lang Tong,et al.  Malicious Data Attacks on the Smart Grid , 2011, IEEE Transactions on Smart Grid.

[6]  Peng Ning,et al.  False data injection attacks against state estimation in electric power grids , 2009, CCS.

[7]  Zuyi Li,et al.  Local Load Redistribution Attacks in Power Systems With Incomplete Network Information , 2014, IEEE Transactions on Smart Grid.

[8]  Hamed Mohsenian Rad,et al.  False data injection attacks with incomplete information against smart power grids , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[9]  Mehul Motani,et al.  Detecting False Data Injection Attacks in AC State Estimation , 2015, IEEE Transactions on Smart Grid.

[10]  Carl D. Meyer,et al.  Matrix Analysis and Applied Linear Algebra , 2000 .

[11]  Vito Latora,et al.  Modeling cascading failures in the North American power grid , 2005 .

[12]  Wen-Long Chin,et al.  Blind False Data Injection Attack Using PCA Approximation Method in Smart Grid , 2015, IEEE Transactions on Smart Grid.

[13]  Henrik Sandberg,et al.  Stealth Attacks and Protection Schemes for State Estimators in Power Systems , 2010, 2010 First IEEE International Conference on Smart Grid Communications.