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SP
2010
IEEE
187views Security Privacy» more  SP 2010»
14 years 20 days 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
ACSAC
2000
IEEE
14 years 1 months ago
A Network Audit System for Host-based Intrusion Detection (NASHID) in Linux
Recent work has shown that conventional operating system audit trails are insufficient to detect low-level network attacks. Because audit trails are typically based upon system c...
Thomas E. Daniels, Eugene H. Spafford
IPPS
2007
IEEE
14 years 3 months ago
An Approach to Detect Executable Content for Anomaly Based Network Intrusion Detection
Since current internet threats contain not only malicious codes like Trojan or worms, but also spyware and adware which do not have explicit illegal content, it is necessary to hav...
Like Zhang, Gregory B. White
CCS
2007
ACM
14 years 2 months ago
Shunting: a hardware/software architecture for flexible, high-performance network intrusion prevention
Stateful, in-depth, inline traffic analysis for intrusion detection and prevention is growing increasingly more difficult as the data rates of modern networks rise. Yet it remai...
José M. González, Vern Paxson, Nicho...
ACSAC
2006
IEEE
14 years 2 months ago
Automatic Evaluation of Intrusion Detection Systems
An Intrusion Detection System (IDS) is a crucial element of a network security posture. Although there are many IDS products available, it is rather difficult to find information ...
Frédéric Massicotte, François...