Unsupervised anomaly detection within non-numerical sequence data by average index difference, with application to masquerade detection

DOI10.1002/asmb.2057MaRDI QIDQ6571868

Stefan Jan Skudlarek, Hirosuke Yamamoto

Publication date: 12 July 2024

Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)

zbMATH Keywords

sequence dataanomaly detectionunsupervisedaverage index differencemasqueradenon-numerical

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• The power of amnesia: Learning probabilistic automata with variable memory length
• Kernel methods in machine learning
• Computer intrusion: Detecting masquerades.
• Statistics of return times: A general framework and new applications
• Exponential approximation for hitting times in mixing processes
• Rejecting Outliers in Factorial Designs
• Elements of Information Theory
• On the notion of recurrence in discrete stochastic processes
• Robust Statistics

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