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APNOMS
2006
Springer
15 years 1 months ago
Detecting and Identifying Network Anomalies by Component Analysis
Many research works address detection and identification of network anomalies using traffic analysis. This paper considers large topologies, such as those of an ISP, with traffic a...
Le The Quyen, Marat Zhanikeev, Yoshiaki Tanaka
CORR
2010
Springer
139views Education» more  CORR 2010»
14 years 9 months ago
Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Resea...
Julie Greensmith, Uwe Aickelin, Gianni Tedesco
ICDCSW
2006
IEEE
15 years 3 months ago
An Evaluation of the Effectiveness of Measurement-based Anomaly Detection Techniques
A number of recent studies have proposed measurement based approaches to network traffic analysis. These techniques treat traffic volume and traffic header data as signals or imag...
Seong Soo Kim, A. L. Narasimha Reddy
82
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IAW
2003
IEEE
15 years 2 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...
INFOCOM
2010
IEEE
14 years 8 months ago
A Signal Processing View on Packet Sampling and Anomaly Detection
—Anomaly detection methods typically operate on pre-processed, i.e., sampled and aggregated, traffic traces. Most traffic capturing devices today employ random packet sampling,...
Daniela Brauckhoff, Kavé Salamatian, Martin...