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» Network anomaly detection with incomplete audit data
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IMC
2009
ACM
14 years 2 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
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...
HICSS
2003
IEEE
211views Biometrics» more  HICSS 2003»
14 years 1 months ago
Effective Intrusion Detection Using Multiple Sensors in Wireless Ad Hoc Networks
In this paper we propose a distributed intrusion detection system for ad hoc wireless networks based on mobile agent technology. Wireless networks are particularly vulnerable to i...
Oleg Kachirski, Ratan K. Guha
IJWIS
2007
181views more  IJWIS 2007»
13 years 7 months ago
Answering queries over incomplete data stream histories
Streams of data often originate from many distributed sources. A distributed stream processing system publishes such streams of data and enables queries over the streams. This allo...
Alasdair J. G. Gray, Werner Nutt, M. Howard Willia...
SP
2008
IEEE
176views Security Privacy» more  SP 2008»
14 years 2 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...