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» Host Based Intrusion Detection using Machine Learning
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KDD
2002
ACM
109views Data Mining» more  KDD 2002»
14 years 8 months ago
Mining intrusion detection alarms for actionable knowledge
In response to attacks against enterprise networks, administrators increasingly deploy intrusion detection systems. These systems monitor hosts, networks, and other resources for ...
Klaus Julisch, Marc Dacier
IEEEIAS
2009
IEEE
14 years 2 months ago
Fuzzy Intrusion Detection System via Data Mining Technique with Sequences of System Calls
: There are two main approaches for implementing IDS; Host based and Network based. While the former is implemented in form of software deployed on a host, the latter, usually is b...
Mohammad Akbarpour Sekeh, Mohd. Aizani Bin Maarof
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 7 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
JCS
2002
100views more  JCS 2002»
13 years 7 months ago
STATL: An Attack Language for State-Based Intrusion Detection
STATL is an extensible state/transition-based attack description language designed to support intrusion detection. The language allows one to describe computer penetrations as seq...
Steve T. Eckmann, Giovanni Vigna, Richard A. Kemme...
ICETE
2004
253views Business» more  ICETE 2004»
13 years 9 months ago
BLAZE: A Mobile Agent Paradigm for VoIP Intrusion Detection Systems
ser provides abstraction for supporting flexible security policies that can be developed using the low-level primitives of the browser. We believe our browser architecture will be ...
Kapil Singh, Son T. Vuong