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» Is negative selection appropriate for anomaly detection
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GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
13 years 10 months ago
Is negative selection appropriate for anomaly detection?
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, C...
ICARIS
2005
Springer
13 years 10 months ago
A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques
The (randomized) real-valued negative selection algorithm is an anomaly detection approach, inspired by the negative selection immune system principle. The algorithm was proposed t...
Thomas Stibor, Jonathan Timmis, Claudia Eckert
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
13 years 10 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
ICARIS
2003
Springer
13 years 10 months ago
An Investigation of the Negative Selection Algorithm for Fault Detection in Refrigeration Systems
Supermarkets lose millions of pounds every year through lost trading and stock wastage caused by the failure of refrigerated cabinets. Therefore, a huge commercial market exists fo...
Dan W. Taylor, David Corne
ICC
2007
IEEE
147views Communications» more  ICC 2007»
13 years 11 months ago
A Cooperative AIS Framework for Intrusion Detection
Abstract— We present a cooperative intrusion detection approach inspired by biological immune system principles and P2P communication techniques to develop a distributed anomaly ...
Katja Luther, Rainer Bye, Tansu Alpcan, Achim M&uu...