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Multisensor Data Fusion: From Algorithms and Architectural Design to Applications

Attack-resilient sensor fusion for CPS

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Ivanov, R; Pajic, M; Lee, I
January 1, 2017

Modern cyber physical systems (CPS) are a complex mixture of cyber and physical components. Although the two aspects have been analyzed individually both in terms of performance and security, ensuring the safety of systems combining the two components is a challenging task. In addition to the cyber attacks deployed over the years (e.g., denial of service), CPS are also vulnerable to physical attacks (e.g., sensor spoofing). In particular, recent work has shown that an attacker may gain control of a system by either hijacking its sensors [1] or gaining direct access to the system’s internal network [2,3].

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Publication Date

January 1, 2017

Start / End Page

409 / 421
 

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Ivanov, R., Pajic, M., & Lee, I. (2017). Attack-resilient sensor fusion for CPS. In Multisensor Data Fusion: From Algorithms and Architectural Design to Applications (pp. 409–421). https://doi.org/10.1201/b18851
Ivanov, R., M. Pajic, and I. Lee. “Attack-resilient sensor fusion for CPS.” In Multisensor Data Fusion: From Algorithms and Architectural Design to Applications, 409–21, 2017. https://doi.org/10.1201/b18851.
Ivanov R, Pajic M, Lee I. Attack-resilient sensor fusion for CPS. In: Multisensor Data Fusion: From Algorithms and Architectural Design to Applications. 2017. p. 409–21.
Ivanov, R., et al. “Attack-resilient sensor fusion for CPS.” Multisensor Data Fusion: From Algorithms and Architectural Design to Applications, 2017, pp. 409–21. Scopus, doi:10.1201/b18851.
Ivanov R, Pajic M, Lee I. Attack-resilient sensor fusion for CPS. Multisensor Data Fusion: From Algorithms and Architectural Design to Applications. 2017. p. 409–421.

DOI

Publication Date

January 1, 2017

Start / End Page

409 / 421