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» Intrusion Detection Based on Data Mining
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ACMSE
2006
ACM
15 years 1 months ago
Hybrid intelligent systems for network security
Society has grown to rely on Internet services, and the number of Internet users increases every day. As more and more users become connected to the network, the window of opportu...
J. Lane Thames, Randal Abler, Ashraf Saad
KDD
2005
ACM
205views Data Mining» more  KDD 2005»
15 years 5 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
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
15 years 5 months ago
Privacy Preserving Nearest Neighbor Search
Data mining is frequently obstructed by privacy concerns. In many cases data is distributed, and bringing the data together in one place for analysis is not possible due to privac...
Mark Shaneck, Yongdae Kim, Vipin Kumar
ICDM
2006
IEEE
158views Data Mining» more  ICDM 2006»
15 years 5 months ago
Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis
Internet routing dynamics have been extensively studied in the past few years. However, dynamics such as interdomain Border Gateway Protocol (BGP) behavior are still poorly unders...
Murat Can Ganiz, Sudhan Kanitkar, Mooi Choo Chuah,...
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
16 years 7 days ago
Online novelty detection on temporal sequences
: Novelty detection, or anomaly detection, on temporal sequences has increasingly attracted attention from researchers in different areas. In this paper, we present a new framework...
Junshui Ma, Simon Perkins