Details

Autor(en) / Beteiligte

• Pang, Zhong-Hua
• Liu, Guo-Ping
• Zhou, Donghua
• Hou, Fangyuan
• Sun, Dehui

Titel

Two-Channel False Data Injection Attacks Against Output Tracking Control of Networked Systems

Ist Teil von

• IEEE transactions on industrial electronics (1982), 2016-05, Vol.63 (5), p.3242-3251

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2016

Quelle

IEEE/IET Electronic Library (IEL)

Beschreibungen/Notizen

• This paper addresses the design problem of false data injection (FDI) attacks against the output tracking control of networked systems, where the network-induced delays in the feedback and forward channels are considered. The main contributions of this paper are as follows. 1) To actively compensate for the two-channel network-induced delays, a Kalman filter-based networked predictive control scheme is designed for stochastic linear discrete-time systems. 2) From an attacker's perspective, stealthy FDI attacks are proposed for both the feedback and forward channels so as to disrupt the stability of the resulting closed-loop system while avoiding the detection of a Kalman filter-based attack detector. 3) Both numerical simulations and practical experiments are carried out to show the effectiveness of the proposed method.