LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling
Bin Xia, Yuxuan Bai, Junjie Yin, Yun Li, Jian Xu
Topics & Concepts
Computer scienceAnomaly detectionEvent (particle physics)Data miningGranularityAnomaly (physics)Permutation (music)Generative grammarAdversarial systemOutlierTRACE (psycholinguistics)WorkflowArtificial intelligenceMachine learningDatabasePhysicsOperating systemPhilosophyCondensed matter physicsLinguisticsQuantum mechanicsAcousticsSoftware System Performance and ReliabilityAnomaly Detection Techniques and ApplicationsNetwork Security and Intrusion Detection