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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 ...
IEEEARES
2010
IEEE
13 years 9 months ago
Improving Network Intrusion Detection by Means of Domain-Aware Genetic Programming
—One of the central areas in network intrusion detection is how to build effective systems that are able to distinguish normal from intrusive traffic. In this paper we explore t...
Jorge Blasco Alís, Agustín Orfila, A...
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
13 years 11 months ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani
ADHOCNETS
2009
Springer
14 years 4 days ago
Power-Aware Intrusion Detection in Mobile Ad Hoc Networks
Mobile ad hoc networks (MANETs) are a highly promising new form of networking. However they are more vulnerable to attacks than wired networks. In addition, conventional intrusion ...
Sevil Sen, John A. Clark, Juan E. Tapiador
GECCO
2004
Springer
121views Optimization» more  GECCO 2004»
14 years 26 days ago
Vulnerability Analysis of Immunity-Based Intrusion Detection Systems Using Evolutionary Hackers
Artificial Immune Systems (AISs) are biologically inspired problem solvers that have been used successfully as intrusion detection systems (IDSs). This paper describes how the des...
Gerry V. Dozier, Douglas Brown, John Hurley, Kryst...