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» A Novel Immune Inspired Approach to Fault Detection
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SP
1996
IEEE
101views Security Privacy» more  SP 1996»
13 years 9 months ago
An Immunological Approach to Change Detection: Algorithms, Analysis and Implications
We present new results on a distributable changedetection method inspired by the natural immune system. A weakness in the original algorithm was the exponential cost of generating...
Patrik D'haeseleer, Stephanie Forrest, Paul Helman
PCM
2004
Springer
106views Multimedia» more  PCM 2004»
13 years 10 months ago
An Immunological Approach to Raising Alarms in Video Surveillance
Inspired by the human immune system, and in particular the negative selection algorithm, we propose a learning mechanism that enables the detection of abnormal activities. Three ty...
Lukman Sasmita, Wanquan Liu, Svetha Venkatesh
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
13 years 11 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
Signal Processing by an Immune Type Tree Transform
Abstract. The paper makes an attempt to introduce a new approach for detection of local singularities in signals, including one-dimensional time series and two-dimensional images. ...
Nikolaos D. Atreas, Costas G. Karanikas, Alexander...
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