Optimal deception attack on networked vehicular cyber physical systems

Abstract

Herein, design of false data injection attack on a distributed cyber-physical system is considered. A stochastic process with linear dynamics and Gaussian noise is measured by multiple agent nodes, each equipped with multiple sensors. The agent nodes form a multi-hop network among themselves. Each agent node computes an estimate of the process by using its sensor observation and messages obtained from neighbouring nodes, via Kalman-consensus filtering. An external attacker, capable of arbitrarily manipulating the sensor observations of some or all agent nodes, injects errors into those sensor observations. The goal of the attacker is to steer the estimates at the agent nodes as close as possible to a pre-specified value, while respecting a constraint on the attack detection probability. To this end, a constrained optimization problem is formulated to find the optimal parameter values of a certain class of linear attacks. The parameters of linear attack are learnt on-line via a combination of stochastic approximation and online stochastic gradient descent. Numerical results demonstrate the efficacy of the attack.The attacker computes S k (t) . = (U k (t)) U k (t) for all 1 ≤ k ≤ N . 5) The sensors make observations {y k (t)} 1≤k≤N , which are accessed by the attacker. 6) The attacker calculates z k (t) = y k (t)−H k Ax (k) (t−1) for all k ∈ {1, 2, · · · , N }. 7) The attacker calculatesz k (t) = T k (t)z k (t) + b k (t) for all k ∈ {1, 2, · · · , N }, where b k (t) ∼ N (M k (t)θ (k) (t− 1) + d k (t), S k (t)) chosen independently of all other

Quickest Bayesian and non-Bayesian detection of false data injection attack in remote state estimation

“…In a distributed system, various entities such as sensors, estimators, controllers and actuators are connected via a multi-hop wireless network, and FDI on one such component propagates to other components over time via the network. Though relatively new, FDI on distributed systems is increasingly being investigated; see [5] for attack design and [6] for attack detection and secure estimation.…”