Abstract
Western-Electric are one of the earliest, and widely used, anomaly detection rules. In this paper we describe an adaptive scenario using these rules and show how a malicious player can optimally fabricate data to deceive the algorithm to enlarge the standard deviation of the data while avoiding being detected.
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References
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Margalit, O. (2018). Brief Announcement: Adversarial Evasion of an Adaptive Version of Western Electric Rules. In: Dinur, I., Dolev, S., Lodha, S. (eds) Cyber Security Cryptography and Machine Learning. CSCML 2018. Lecture Notes in Computer Science(), vol 10879. Springer, Cham. https://doi.org/10.1007/978-3-319-94147-9_22
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DOI: https://doi.org/10.1007/978-3-319-94147-9_22
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