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» Combined Data Mining Approach for Intrusion Detection
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CN
2007
106views more  CN 2007»
13 years 8 months ago
Learning DFA representations of HTTP for protecting web applications
Intrusion detection is a key technology for self-healing systems designed to prevent or manage damage caused by security threats. Protecting web server-based applications using in...
Kenneth L. Ingham, Anil Somayaji, John Burge, Step...
ASIAMS
2008
IEEE
14 years 3 months ago
Data Reduction and Ensemble Classifiers in Intrusion Detection
Efficiency is one of the major issues in intrusion detection. Inefficiency is often attributed to high overhead and this is caused by several reasons. Among them are continuous de...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
BMEI
2008
IEEE
14 years 3 months ago
Performance Evaluation and Fusion of Methods for Early Detection of Alzheimer Disease
The number of people that develop Alzheimer’s Disease (AD) is rapidly rising, while the initial diagnosis and care of AD patients typically falls on non-specialist and still tak...
Brahim Hamadicharef, Cuntai Guan, Emmanuel C. Ifea...
ACSAC
2005
IEEE
14 years 2 months ago
Intrusion Detection in RBAC-administered Databases
A considerable effort has been recently devoted to the development of Database Management Systems (DBMS) which guarantee high assurance security and privacy. An important componen...
Elisa Bertino, Ashish Kamra, Evimaria Terzi, Athen...
KDD
2004
ACM
123views Data Mining» more  KDD 2004»
14 years 9 months ago
A DEA approach for model combination
This paper proposes a novel Data Envelopment Analysis (DEA) based approach for model combination. We first prove that for the 2-class classification problems DEA models identify t...
Zhiqiang Zheng, Balaji Padmanabhan, Haoqiang Zheng