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CCS
2009
ACM
15 years 4 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
86
Voted
SP
2010
IEEE
187views Security Privacy» more  SP 2010»
15 years 1 months ago
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
Robin Sommer, Vern Paxson
CSREASAM
2006
14 years 11 months ago
Agent-based Distributed Intrusion Detection Methodology for MANETs
Intrusion detection, as a complementary mechanism to intrusion prevention, is necessary to secure wireless Mobile Ad hoc Networks (MANETs). In this paper we propose a practical age...
Hongmei Deng, Roger Xu, Frank Zhang, Chiman Kwan, ...
RAID
2009
Springer
15 years 4 months ago
Autonomic Intrusion Detection System
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
Wei Wang 0012, Thomas Guyet, Svein J. Knapskog
ISMIS
2005
Springer
15 years 3 months ago
Anomaly Detection in Computer Security and an Application to File System Accesses
Abstract. We present an overview of anomaly detection used in computer security, and provide a detailed example of a host-based Intrusion Detection System that monitors file syste...
Salvatore J. Stolfo, Shlomo Hershkop, Linh H. Bui,...