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» Network anomaly detection based on TCM-KNN algorithm
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IAW
2003
IEEE
14 years 1 months ago
An Evolutionary Approach to Generate Fuzzy Anomaly Signatures
Abstract— This paper describes the generation of fuzzy signatures to detect some cyber attacks. This approach is an enhancement to our previous work, which was based on the princ...
Fabio A. González, Jonatan Gómez, Ma...
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 ...
SECURWARE
2008
IEEE
14 years 2 months ago
ToLeRating UR-STD
A new emerging paradigm of Uncertain Risk of Suspicion, Threat and Danger, observed across the field of information security, is described. Based on this paradigm a novel approac...
Jan Feyereisl, Uwe Aickelin
ICARIS
2007
Springer
14 years 1 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,...
IJNSEC
2007
125views more  IJNSEC 2007»
13 years 7 months ago
An Observation-Centric Analysis on the Modeling of Anomaly-based Intrusion Detection
It is generally agreed that two key points always attract special concerns during the modelling of anomaly-based intrusion detection. One is the techniques about discerning two cl...
Zonghua Zhang, Hong Shen, Yingpeng Sang