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» Network anomaly detection with incomplete audit data
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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 ...
ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
13 years 9 months ago
Behavior Analysis-Based Learning Framework for Host Level Intrusion Detection
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
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
BTW
2009
Springer
127views Database» more  BTW 2009»
14 years 2 months ago
In-Network Detection of Anomaly Regions in Sensor Networks with Obstacles
: In the past couple of years, sensor networks have evolved to a powerful infrastructure component for monitoring and tracking events and phenomena in many application domains. An ...
Conny Franke, Marcel Karnstedt, Daniel Klan, Micha...
CCS
2009
ACM
14 years 2 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...