Host-based intrusion detection using dynamic and static behavioral models

DOI10.1016/S0031-3203(02)00026-2zbMath1007.68952MaRDI QIDQ1856667

Yuxin Ding, Dit-Yan Yeung

Publication date: 11 February 2003

Published in: Pattern Recognition (Search for Journal in Brave)

zbMATH Keywords

hidden Markov modelmaximum likelihooddata miningminimum cross entropycomputer securityprofilinganomaly detectionintrusion detectionshell commandsystem call

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99)

Related Items (7)

Probabilistic suffix models for API sequence analysis of windows XP applications ⋮ Network intrusion detection in covariance feature space ⋮ Real Time Learning of Non-stationary Processes with Dynamic Bayesian Networks ⋮ Hopf bifurcation in an Internet worm propagation model with time delay in quarantine ⋮ A host intrusion detection system architecture for embedded industrial devices ⋮ Ensemble: Community-Based Anomaly Detection for Popular Applications ⋮ Impulsive switching epidemic model with benign worm defense and quarantine strategy

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• Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
• A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
• On Information and Sufficiency

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