Remote State Estimation Under Strategic DoS Attack Policy: Tackling Joint Constraints

In this paper, an exquisite strategic denial-of-service (DoS) attack mechanism is proposed, whose objective is to intercept specific measurements obeying the Round-Robin protocol (RRP) and enlarge the attack destructiveness at the side of the remote estimator. The distinctive contributions of this research can be stressed as follows: firstly, in contrast to the majority of existing DoS attack policies, the property of the considered attack sequence is stochastic, selectively targeting information crucial to the transmission process. Secondly, the concerned attack mechanism yields great disruption compared to the periodic or Bernoulli-distributed DoS attack models. Additionally, the joint consideration of the limited average attack rate (AAR) and energy allocation procedure (EAP) reflecting energy constraints of DoS attacks, are merged into a unified random framework. The relationship between these constraints and attack probability is established by resorting to stochastic analysis methods. Finally, two numerical examples are provided to demonstrate the effectiveness and usefulness of the proposed attack policy.