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» Combined Data Mining Approach for Intrusion Detection
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AINA
2010
IEEE
13 years 8 days ago
A Novel Cross Layer Intrusion Detection System in MANET
— Intrusion detection System forms a vital component of internet security. To keep pace with the growing trends, there is a critical need to replace single layer detection techno...
Rakesh Shrestha, Kyong-Heon Han, Dong-You Choi, Se...
ISCC
2006
IEEE
127views Communications» more  ISCC 2006»
14 years 2 months ago
Aggregating Distributed Sensor Data for Network Intrusion Detection
Distributed network intrusion detection systems which incorporate tens, hundreds, even thousands, of sensors are becoming increasing popular. Managing and presenting the informati...
John C. McEachen, Cheng Kah Wai, Vonda L. Olsavsky
KDD
2005
ACM
205views Data Mining» more  KDD 2005»
14 years 2 months ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
INCDM
2010
Springer
159views Data Mining» more  INCDM 2010»
14 years 1 months ago
Semi-supervised Learning for False Alarm Reduction
Abstract. Intrusion Detection Systems (IDSs) which have been deployed in computer networks to detect a wide variety of attacks are suffering how to manage of a large number of tri...
Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen...
AI
2003
Springer
14 years 1 months ago
Explanation-Oriented Association Mining Using a Combination of Unsupervised and Supervised Learning Algorithms
We propose a new framework of explanation-oriented data mining by adding an explanation construction and evaluation phase to the data mining process. While traditional approaches c...
Yiyu Yao, Yan Zhao, R. Brien Maguire