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» Eigenspace-based anomaly detection in computer systems
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ICPPW
2008
IEEE
14 years 1 months ago
Disparity: Scalable Anomaly Detection for Clusters
In this paper, we describe disparity, a tool that does parallel, scalable anomaly detection for clusters. Disparity uses basic statistical methods and scalable reduction operation...
Narayan Desai, Rick Bradshaw, Ewing L. Lusk
ICIAP
2005
ACM
14 years 7 months ago
Analyzing TCP Traffic Patterns Using Self Organizing Maps
The continuous evolution of the attacks against computer networks has given renewed strength to research on anomaly based Intrusion Detection Systems, capable of automatically dete...
Stefano Zanero
NDSS
2006
IEEE
14 years 1 months ago
Using Generalization and Characterization Techniques in the Anomaly-based Detection of Web Attacks
The custom, ad hoc nature of web applications makes learning-based anomaly detection systems a suitable approach to provide early warning about the exploitation of novel vulnerabi...
William K. Robertson, Giovanni Vigna, Christopher ...
NOMS
2010
IEEE
251views Communications» more  NOMS 2010»
13 years 5 months ago
Online detection of utility cloud anomalies using metric distributions
—The online detection of anomalies is a vital element of operations in data centers and in utility clouds like Amazon EC2. Given ever-increasing data center sizes coupled with th...
Chengwei Wang, Vanish Talwar, Karsten Schwan, Part...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 29 days 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