Information-Theoretic Attacks in the Smart Grid

摘要: Gaussian random attacks that jointly minimize the amount of information obtained by operator from grid and probability attack detection are presented. The construction is posed as an optimization problem with a utility function captures two effects: firstly, minimizing mutual between measurements state variables; secondly, via Kullback-Leibler divergence distribution without attack. Additionally, lower bound on achieved constructed imperfect knowledge second order statistics variables obtained. performance using sample covariance matrix numerically evaluated. above results tested in IEEE 30-Bus test system.