Titlebook: Anomaly Detection as a Service; Challenges, Advances Danfeng Daphne Yao,Xiaokui Shu,Salvatore J. Stolfo Book 2018 Springer Nature Switzerla

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Anomaly Detection in Cyber-Physical Systems,ly detection [53]. We take the finitestate automaton (FSA) model as an instance, and present the event-aware FSA model, named eFSA, to detect stealthy anomalous CPS program behaviors particularly caused by data-oriented attacks.

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Anomaly Detection on Network Traffic,omplements the system-level traces described in previous chapters. Vigna’s overview of network intrusion detection research in 2010 pointed out the rise of anomaly-based detection on network traffic utilizing data mining [286]. PAYL [292] and McPAD [216] analyze .-grams with frequencies (described i

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Exciting New Problems and Opportunities, aspects, including the evolution of anomaly detection, its fundamental limitations, new data-oriented threats, the challenge of diverse program behaviors, the role of program analysis in data science, requirements posed by cyber-physical environments, sensemaking of network traffic, adaptive and au

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