Abstract
This paper addresses the design of an active cyberattack detection architecture based on multiplicative watermarking, allowing for detection of covert attacks. We propose an optimal design problem, relying on the so-called output-to-output ℓ 2 -gain, which characterizes the maximum gain between the residual output of a detection scheme and some performance output. Although optimal, this control problem is non-convex. Hence, we propose an algorithm to design the watermarking filters by solving the problem suboptimally via LMIs. We show that, against covert attacks, the output-to-output ℓ 2 -gain is unbounded without watermarking, and we provide a sufficient condition for boundedness in the presence of watermarks.
| Original language | English |
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| Title of host publication | Proceedings of the 60th IEEE Conference on Decision and Control (CDC 2021) |
| Publisher | IEEE |
| Pages | 4176-4181 |
| ISBN (Print) | 978-1-6654-3659-5 |
| DOIs | |
| Publication status | Published - 2021 |
| Event | 60th IEEE Conference on Decision and Control (CDC 2021) - Austin, United States Duration: 14 Dec 2021 → 17 Dec 2021 |
Conference
| Conference | 60th IEEE Conference on Decision and Control (CDC 2021) |
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| Country/Territory | United States |
| City | Austin |
| Period | 14/12/21 → 17/12/21 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.