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» Host Based Intrusion Detection using Machine Learning
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CEEMAS
2007
Springer
14 years 1 months ago
Agent-Based Network Protection Against Malicious Code
This paper presents an agent-based approach to Network Intrusion Prevention on corporate networks, emphasizing the protection from fast-spreading mobile malicious code outbreaks (e...
Martin Rehák, Michal Pechoucek, Jan Tozicka...
ACMSE
2005
ACM
14 years 1 months ago
Alert confidence fusion in intrusion detection systems with extended Dempster-Shafer theory
Accurate identification of misuse is a key factor in determining appropriate ways to protect systems. Modern intrusion detection systems often use alerts from different sources su...
Dong Yu, Deborah A. Frincke
SP
1991
IEEE
121views Security Privacy» more  SP 1991»
13 years 11 months ago
The SRI IDES Statistical Anomaly Detector
SRI International’s real-time intrusion-detection expert system (IDES) system contains a statistical subsystem that observes behavior on a moniioreci cornpuier system and adapti...
H. S. Javitz, A. Valdes
ICONIP
2008
13 years 9 months ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
VEE
2006
ACM
106views Virtualization» more  VEE 2006»
14 years 1 months ago
Using VMM-based sensors to monitor honeypots
Virtual Machine Monitors (VMMs) are a common tool for implementing honeypots. In this paper we examine the implementation of a VMM-based intrusion detection and monitoring system ...
Kurniadi Asrigo, Lionel Litty, David Lie