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» Intrusion Detection with Neural Networks
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AINA
2007
IEEE
14 years 2 months ago
A Cost-Sensitive Model for Preemptive Intrusion Response Systems
The proliferation of complex and fast-spreading intrusions not only requires advances in intrusion detection mechanisms but also demands development of sophisticated and automated...
Natalia Stakhanova, Samik Basu, Johnny Wong
ICNC
2005
Springer
14 years 1 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 ...
ICC
2009
IEEE
139views Communications» more  ICC 2009»
13 years 5 months ago
Distributed Intrusion Detection with Intelligent Network Interfaces for Future Networks
Abstract--Intrusion detection remains an important and challenging task in current and next generation networks (NGN). Emerging technologies such as multi-core processors and virtu...
Yan Luo, Ke Xiang, Jie Fan, Chunhui Zhang
WEBI
2005
Springer
14 years 1 months ago
Network-Based Intrusion Detection Using Adaboost Algorithm
Intrusion detection on the internet is a heated research field in computer science, where much work has been done during the past two decades. In this paper, we build a network-b...
Wei Hu, Weiming Hu
OTM
2007
Springer
14 years 2 months ago
Toward Sound-Assisted Intrusion Detection Systems
Network intrusion detection has been generally dealt with using sophisticated software and statistical analysis, although sometimes it has to be done by administrators, either by d...
Lei Qi, Miguel Vargas Martin, Bill Kapralos, Mark ...