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IEEEARES
2006
IEEE
14 years 3 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
ICDCS
2006
IEEE
14 years 3 months ago
A DoS Resilient Flow-level Intrusion Detection Approach for High-speed Networks
Global-scale attacks like viruses and worms are increasing in frequency, severity and sophistication, making it critical to detect outbursts at routers/gateways instead of end hos...
Yan Gao, Zhichun Li, Yan Chen
ICNC
2005
Springer
14 years 3 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 ...
JSS
2006
153views more  JSS 2006»
13 years 9 months ago
Towards the automatic generation of mobile agents for distributed intrusion detection system
The Mobile Agent Intrusion Detection System (MAIDS) is an agent based distributed Intrusion Detection System (IDS). A disciplined requirement engineering process is developed to b...
Yanxin Wang, Smruti Ranjan Behera, Johnny Wong, Gu...
ICIAP
2005
ACM
14 years 10 months ago
Analyzing TCP Traffic Patterns Using Self Organizing Maps
The continuous evolution of the attacks against computer networks has given renewed strength to research on anomaly based Intrusion Detection Systems, capable of automatically dete...
Stefano Zanero