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» Is negative selection appropriate for anomaly detection
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CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 5 months ago
Dendritic Cells for Anomaly Detection
Artificial immune systems, more specifically the negative selection algorithm, have previously been applied to intrusion detection. The aim of this research is to develop an intrus...
Julie Greensmith, Jamie Twycross, Uwe Aickelin
ICANNGA
2009
Springer
134views Algorithms» more  ICANNGA 2009»
13 years 12 months ago
A Generative Model for Self/Non-self Discrimination in Strings
A statistical generative model is presented as an alternative to negative selection in anomaly detection of string data. We extend the probabilistic approach to binary classificat...
Matti Pöllä
IAW
2003
IEEE
13 years 10 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...
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
13 years 6 months ago
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
Thomas Stibor
CORR
2010
Springer
106views Education» more  CORR 2010»
13 years 5 months ago
Further Exploration of the Dendritic Cell Algorithm: Antigen Multiplier and Time Windows
Abstract. As an immune-inspired algorithm, the Dendritic Cell Algorithm (DCA), produces promising performance in the field of anomaly detection. This paper presents the application...
Feng Gu, Julie Greensmith, Uwe Aickelin