Information Sciences: an International Journal
Selection of effective network parameters in attacks for intrusion detection
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Review: Intrusion detection system: A comprehensive review
Journal of Network and Computer Applications
Analyzing and defending against web-based malware
ACM Computing Surveys (CSUR)
Performance analysis of machine learning algorithms for intrusion detection in MANETs
International Journal of Wireless and Mobile Computing
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The rapid proliferation of computer networks has changed the prospect of network security. An easy accessibility condition cause computer network’s vulnerable against several threats from hackers. Threats to networks are numerous and potentially devastating. Up to the moment, researchers have developed Intrusion Detection Systems (IDS) capable of detecting attacks in several available environments. A boundlessness of methods for misuse detection as well as anomaly detection has been applied. Many of the technologies proposed are complementary to each other, since for different kind of environments some approaches perform better than others. This paper presents a taxonomy of intrusion detection systems that is then used to survey and classify them. The taxonomy consists of the detection principle, and second of certain operational aspects of the intrusion detection system.