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» Data Mining for Intrusion Detection: Techniques, Application...
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HICSS
2003
IEEE
118views Biometrics» more  HICSS 2003»
15 years 5 months ago
On-Line Intrusion Detection and Attack Prevention Using Diversity, Generate-and-Test, and Generalization
We have built a system for protecting Internet services to securely connected, known users. It implements a generate-and-test approach for on-line attack identification and uses s...
James C. Reynolds, James E. Just, Larry A. Clough,...
87
Voted
ACSAC
2001
IEEE
15 years 4 months ago
Mining Alarm Clusters to Improve Alarm Handling Efficiency
It is a well-known problem that intrusion detection systems overload their human operators by triggering thousands of alarms per day. As a matter of fact, we have been asked by on...
Klaus Julisch
110
Voted
APCCM
2006
15 years 1 months ago
Network data mining: methods and techniques for discovering deep linkage between attributes
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
John Galloway, Simeon J. Simoff
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 27 days ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
88
Voted
DMIN
2006
106views Data Mining» more  DMIN 2006»
15 years 1 months ago
A Medical Claim Fraud/Abuse Detection System based on Data Mining: A Case Study in Chile
This paper describes an effective medical claim fraud/abuse detection system based on data mining used by a Chilean private health insurance company. Fraud and abuse in medical cla...
Pedro A. Ortega, Cristián J. Figueroa, Gonz...