82 search results - page 2 / 17 » Principled Sampling for Anomaly Detection |
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
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...
IDA
2007
Springer
13 years 4 months ago
2007
Springer
An important area of data mining is anomaly detection, particularly for fraud. However, little work has been done in terms of detecting anomalies in data that is represented as a g...
CNSR
2008
IEEE
13 years 11 months ago
2008
IEEE
During the last decade, anomaly detection has attracted the attention of many researchers to overcome the weakness of signature-based IDSs in detecting novel attacks. However, hav...
ICC
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— We present a cooperative intrusion detection approach inspired by biological immune system principles and P2P communication techniques to develop a distributed anomaly ...
IJNSEC
2007
13 years 4 months ago
2007
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...