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» A Labeled Data Set for Flow-Based Intrusion Detection
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ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
13 years 6 months ago
Behavior Analysis-Based Learning Framework for Host Level Intrusion Detection
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
KDD
2002
ACM
144views Data Mining» more  KDD 2002»
14 years 5 months ago
ADMIT: anomaly-based data mining for intrusions
Security of computer systems is essential to their acceptance and utility. Computer security analysts use intrusion detection systems to assist them in maintaining computer system...
Karlton Sequeira, Mohammed Javeed Zaki
ICARIS
2007
Springer
13 years 11 months ago
An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Comp
Today’s signature-based intrusion detection systems are reactive in nature and storage-limited. Their operation depends upon catching an instance of an intrusion or virus and en...
Charles R. Haag, Gary B. Lamont, Paul D. Williams,...
VIIP
2001
13 years 6 months ago
Visual Behavior Characterization for Intrusion Detection in Large Scale Systems
This work focuses on the visual representation of relations towards aiding the exploration and analysis of network intrusions. Fundamentally, the visual representations aid an ana...
Robert F. Erbacher
ACSAC
2006
IEEE
13 years 11 months ago
Automatic Evaluation of Intrusion Detection Systems
An Intrusion Detection System (IDS) is a crucial element of a network security posture. Although there are many IDS products available, it is rather difficult to find information ...
Frédéric Massicotte, François...