Stealthiness Analysis of the Identified Model-Based Covert Attacks with Unknown Model
Most of existing covert attacks are achieved basedon known model, which is however impractical for the attacker,leading to the failure of covert attacks. To solve this problem,this paper presents a novel covert attacks method with unknownmodel. Firstly, the negative correlation between the model er-rors and the stealthiness of traditional covert attacks (TCAs)is quantitatively analyzed, where bigger errors brings worsestealthiness. Secondly, the subspace identification method is usedto obtain the identified model of the plant. Furthermore, a novelidentification and adaptive compensation based covert attacks(IACCAs) method is proposed, which can adaptively compensatethe attack signals by adaptive law. Although there exist theidentification errors, the stealthiness of IACCAs is proved to besimilar as TCAs with known model. Finally, experimental resultsdemonstrate the feasibility and effectiveness of the proposedIACCAs method, which can achieve covert attacks with unknown model.
Author affiliationSchool of Computing and Mathematical Sciences, University of Leicester
- AM (Accepted Manuscript)