TY - JOUR
T1 - Performance degradation of stealthy attacks against sensor measurements in vector systems
AU - Hou, Fangyuan
AU - Sun, Jian
N1 - Publisher Copyright:
© 2019
PY - 2021/1
Y1 - 2021/1
N2 - In this work, we analyze the performance degradation of stealthy attacks against sensor measurements in vector systems. Two types of attacks are considered. One is strictly stealthy attack and the other is ϵ-stealthy attack. For the strictly stealthy attack, we characterize the upper bound of the performance degradation and design an optimal strictly stealthy attack that can achieve the upper bound. For the ϵ-stealthy attack, we quantify the upper bound of the performance degradation and propose a sub-optimal ϵ-stealthy attack approximately achieving the upper bound. Numerical results are given to illustrate the trade off between performance degradation versus the stealthiness level of the attack.
AB - In this work, we analyze the performance degradation of stealthy attacks against sensor measurements in vector systems. Two types of attacks are considered. One is strictly stealthy attack and the other is ϵ-stealthy attack. For the strictly stealthy attack, we characterize the upper bound of the performance degradation and design an optimal strictly stealthy attack that can achieve the upper bound. For the ϵ-stealthy attack, we quantify the upper bound of the performance degradation and propose a sub-optimal ϵ-stealthy attack approximately achieving the upper bound. Numerical results are given to illustrate the trade off between performance degradation versus the stealthiness level of the attack.
UR - http://www.scopus.com/inward/record.url?scp=85072841263&partnerID=8YFLogxK
U2 - 10.1016/j.jfranklin.2018.11.062
DO - 10.1016/j.jfranklin.2018.11.062
M3 - Article
AN - SCOPUS:85072841263
SN - 0016-0032
VL - 358
SP - 237
EP - 250
JO - Journal of the Franklin Institute
JF - Journal of the Franklin Institute
IS - 1
ER -