Optimal epsilon-stealthy attack and its countermeasure

Abstract

Cyber physical systems are open to all sorts of attacks due to its reliance on wireless communication. Attackers are searching for optimal attacks that damage the system's performance, and in the presence of a detection mechanism, would want the optimal attack that is stealthy. In this thesis, the concept of ∈-stealthiness is studied in its entirety. We construct optimal ∈-stealthy attacks with respect to estimation quality for the control attack and tackle the measurement attack case from two different perspectives. Our secondary objective is to propose a method to counter this attack. We will develop a model under which the estimator can increase the probability of detection. In this model, two ideas are proposed to optimize the threshold distribution and the optimal distribution is constructed accordingly.

Date of Award	2017
Original language	English
Awarding Institution	The Hong Kong University of Science and Technology