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Analysis and Mitiga...
Analysis and Mitigation of Bias Injection Attacks Against a Kalman Filter
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- Milosevic, Jezdimir (författare)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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- Tanaka, Takashi (författare)
- KTH,ACCESS Linnaeus Centre
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- Sandberg, Henrik (författare)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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- Johansson, Karl Henrik (författare)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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(creator_code:org_t)
- Elsevier, 2017
- 2017
- Engelska.
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Ingår i: IFAC-PapersOnLine. - : Elsevier. - 2405-8963. ; 50:1, s. 8393-8398
- Relaterad länk:
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In this paper, we consider a state estimation problem for stochastic linear dynamical systems in the presence of bias injection attacks. A Kalman filter is used as an estimator, and a chi-squared test is used to detect anomalies. We first show that the impact of the worst-case bias injection attack in a stochastic setting can be analyzed by a deterministic quadratically constrained quadratic program, which has an analytical solution. Based on this result, we propose a criterion for selecting sensors to secure in order to mitigate the attack impact. Furthermore, we derive a condition on the necessary number of sensors to secure in order for the impact to be less than a desired threshold.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- Cyber-Attacks
- Cyber-Physical Systems
- Cyber-Security
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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