Authentication for Cyber-Physical Systems
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Publisher
Springer Berlin Heidelberg
Link
https://link.springer.com/content/pdf/10.1007/978-3-642-27739-9_1721-2
Reference28 articles.
1. Aguayo Gonzalez C, Hinton A (2014) Detecting malicious software execution in programmable logic controllers using power fingerprinting. In: Critical infrastructure protection VIII. Springer, Berlin/Heidelberg
2. Ahmed CM, Palleti VR, Mathur AP (2017) Wadi: a water distribution testbed for research in the design of secure cyber physical systems. In: Proceedings of the 3rd international workshop on cyber-physical systems for smart water networks. CySWATER’17. ACM, New York, pp 25–28. https://doi.org/10.1145/3055366.3055375
3. Ahmed CM, Ochoa M, Zhou J, Mathur A, Qadeer R, Murguia C, Ruths J (2018) Noiseprint: attack detection using sensor and process noise fingerprint in cyber physical systems. In: Proceedings of the 2018 ACM on Asia conference on computer and communications security, CCS’18. ACM. https://doi.org/10.1145/3196494.3196532
4. Ahmed CM, Gauthama Raman MR, Mathur AP (2020a) Challenges in machine learning based approaches for real-time anomaly detection in industrial control systems. In: Proceedings of the 6th ACM on cyber-physical system security workshop, CPSS’20. Association for Computing Machinery, New York, pp 23–29. https://doi.org/10.1145/3384941.3409588
5. Ahmed CM, Mathur AP, Ochoa M (2020b) Noisense print: detecting data integrity attacks on sensor measurements using hardware-based fingerprints. ACM Trans Priv Secur 24(1). https://doi.org/10.1145/3410447
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