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EUROSEC
2010
ACM
14 years 6 days ago
Improving the accuracy of network intrusion detection systems under load using selective packet discarding
Under conditions of heavy traffic load or sudden traffic bursts, the peak processing throughput of network intrusion detection systems (NIDS) may not be sufficient for inspecting ...
Antonis Papadogiannakis, Michalis Polychronakis, E...
ACSAC
2005
IEEE
13 years 11 months ago
Exploiting Independent State For Network Intrusion Detection
Network intrusion detection systems (NIDSs) critically rely on processing a great deal of state. Often much of this state resides solely in the volatile processor memory accessibl...
Robin Sommer, Vern Paxson
SP
2010
IEEE
187views Security Privacy» more  SP 2010»
13 years 9 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
ISDA
2005
IEEE
13 years 11 months ago
IDEAS: Intrusion Detection based on Emotional Ants for Sensors
Due to the wide deployment of sensor networks recently security in sensor networks has become a hot research topic. Popular ways to secure a sensor network are by including crypto...
Soumya Banerjee, Crina Grosan, Ajith Abraham
IEEEARES
2006
IEEE
13 years 11 months ago
Identifying Intrusions in Computer Networks with Principal Component Analysis
Most current anomaly Intrusion Detection Systems (IDSs) detect computer network behavior as normal or abnormal but cannot identify the type of attacks. Moreover, most current intr...
Wei Wang, Roberto Battiti