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Statistical Tests for Integrity Attacks on Cyber‐Physical Systems
Author(s) -
Zeng Qingliang,
Pu Shaoning,
Zhang Xin
Publication year - 2020
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1945
Subject(s) - normality , residual , kalman filter , cyber physical system , computer science , property (philosophy) , range (aeronautics) , data mining , reliability engineering , computer security , algorithm , statistics , engineering , mathematics , artificial intelligence , philosophy , epistemology , aerospace engineering , operating system
This paper is written to show a new detection method for integrity attack on the measurements. It is proved that the normality of the residual error from Kalman filter is equivalent to that of the measurement. Our method utilizes this property and it could not only detect the distribution changes at current time, but also detect the its time correlations. Overall, it is an improved detection method for a wider range of attacks.