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» Host Based Intrusion Detection using Machine Learning
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ISI
2007
Springer
9 years 1 months ago
Host Based Intrusion Detection using Machine Learning
—Detecting unknown malicious code (malcode) is a challenging task. Current common solutions, such as anti-virus tools, rely heavily on prior explicit knowledge of specific instan...
Robert Moskovitch, Shay Pluderman, Ido Gus, Dima S...
ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
9 years 3 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...
AUSAI
2003
Springer
9 years 6 months ago
Combining Multiple Host-Based Detectors Using Decision Tree
Abstract. As the information technology grows interests in the intrusion detection system (IDS), which detects unauthorized usage, misuse by a local user and modification of impor...
Sang-Jun Han, Sung-Bae Cho
NDSS
2003
IEEE
9 years 6 months ago
A Virtual Machine Introspection Based Architecture for Intrusion Detection
Today’s architectures for intrusion detection force the IDS designer to make a difficult choice. If the IDS resides on the host, it has an excellent view of what is happening i...
Tal Garfinkel, Mendel Rosenblum
CSREASAM
2006
9 years 2 months ago
Gibraltar: A Mobile Host-Based Intrusion Protection System
Although mobile devices are globally omnipresent, security developments for these devices have not kept pace with their technological advancements. Thus, mobile devices are increa...
Grant A. Jacoby, Thadeus Hickman, Stuart Warders, ...
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