Energy‐efficient DoS attack against remote state estimation

Abstract

In this paper, the security issue in cyber-physical system (CPS) is investigated. In order to maximize the attack effect and save the limited energy, the energy efficiency problem is investigated from the perspective of the jammer. This problem is established as a mixed-integer programming problem firstly, and then a necessary condition is presented to explore the optimal energy for a given attack number. Moreover, an energy efficiency optimization (EEO) algorithm is proposed to derive the optimal attack schedule. Lastly, some numerical results are shown to validate the effectiveness of the proposed algorithm.

Data pricing with privacy loss compensation for cyber‐physical systems: A Stackelberg game based approach

“…Drawing support from the advancement of IoT technology, there is a large amount of sensing data generated by cyber-physical systems (CPSs) every moment, 1 which can be further used to establish various data services, such as real-time monitoring, smart decision, and dynamic control. 2 Currently, the data of different CPSs are in an isolated state, resulting in the inability to fully exploit their value. It is necessary to establish a data market to promote the flow of data among data owners and potential buyer (i.e., data transaction), where a reasonable data pricing model is one of the significant breaking points.…”

“…Drawing support from the advancement of IoT technology, there is a large amount of sensing data generated by cyber‐physical systems (CPSs) every moment, 1 which can be further used to establish various data services, such as real‐time monitoring, smart decision, and dynamic control 2 . Currently, the data of different CPSs are in an isolated state, resulting in the inability to fully exploit their value.…”