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» A fuzzy-genetic approach to network intrusion detection
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COMCOM
2002
189views more  COMCOM 2002»
13 years 8 months ago
Intrusion detection techniques and approaches
Recent security incidents and analysis have demonstrated that manual response to such attacks is no longer feasible. Intrusion Detection systems offer techniques for modelling and...
Theuns Verwoerd, Ray Hunt
ICNC
2005
Springer
14 years 2 months ago
Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...
RSP
2007
IEEE
158views Control Systems» more  RSP 2007»
14 years 2 months ago
SPP-NIDS - A Sea of Processors Platform for Network Intrusion Detection Systems
A widely used approach to avoid network intrusion is SNORT, an open source Network Intrusion Detection System (NIDS). This work describes SPP-NIDS, a architecture for intrusion de...
Luis Carlos Caruso, Guilherme Guindani, Hugo Schmi...
SP
2010
IEEE
187views Security Privacy» more  SP 2010»
14 years 12 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
SP
2002
IEEE
13 years 8 months ago
Stateful Intrusion Detection for High-Speed Networks
As networks become faster there is an emerging need for security analysis techniques that can keep up with the increased network throughput. Existing network-based intrusion detec...
Christopher Krügel, Fredrik Valeur, Giovanni ...