TY - GEN
T1 - Fundamental Stealthiness-Distortion Tradeoffs in Dynamical Systems under Injection Attacks
T2 - 2021 European Control Conference, ECC 2021
AU - Fang, Song
AU - Zhu, Quanyan
N1 - Funding Information:
This research is partially supported by award 2015-ST-061-CIRC01 from U.S. DHS, awards ECCS-1847056, CNS-1544782, CNS-2027884, and SES-1541164 from NSF, and grant W911NF-19-1-0041 from ARO.
Publisher Copyright:
© 2021 EUCA.
PY - 2021
Y1 - 2021
N2 - In this paper, we analyze the fundamental stealthiness-distortion tradeoffs of linear Gaussian dynamical systems under data injection attacks using a power spectral analysis, whereas the Kullback-Leibler (KL) divergence is employed as the stealthiness measure. Particularly, we obtain explicit formulas in terms of power spectra that characterize analytically the stealthiness-distortion tradeoffs as well as the properties of the worst-case attacks. Furthermore, it is seen in general that the attacker only needs to know the input-output behaviors of the systems in order to carry out the worst-case attacks.
AB - In this paper, we analyze the fundamental stealthiness-distortion tradeoffs of linear Gaussian dynamical systems under data injection attacks using a power spectral analysis, whereas the Kullback-Leibler (KL) divergence is employed as the stealthiness measure. Particularly, we obtain explicit formulas in terms of power spectra that characterize analytically the stealthiness-distortion tradeoffs as well as the properties of the worst-case attacks. Furthermore, it is seen in general that the attacker only needs to know the input-output behaviors of the systems in order to carry out the worst-case attacks.
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U2 - 10.23919/ECC54610.2021.9654871
DO - 10.23919/ECC54610.2021.9654871
M3 - Conference contribution
AN - SCOPUS:85124887122
T3 - 2021 European Control Conference, ECC 2021
SP - 964
EP - 969
BT - 2021 European Control Conference, ECC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 29 June 2021 through 2 July 2021
ER -