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» Intrusion Detection Based on Data Mining
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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 9 days ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
RAID
1999
Springer
15 years 4 months ago
Anomaly Intrusion Detection Systems: Handling Temporal Relations Between Events
Lately, many approaches have been developed to discover computer abuse. Some of them use data mining techniques to discover anomalous behavior in audit trail, considering this beh...
Alexandr Seleznyov, Seppo Puuronen
ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
15 years 1 months ago
Behavior Analysis-Based Learning Framework for Host Level Intrusion Detection
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
STORAGESS
2005
ACM
15 years 5 months ago
Storage-based file system integrity checker
In this paper we present a storage based intrusion detection system (IDS) which uses time and space efficient point-intime copy and performs file system integrity checks to detec...
Mohammad Banikazemi, Dan E. Poff, Bülent Abal...
MSS
2005
IEEE
84views Hardware» more  MSS 2005»
15 years 5 months ago
Storage-Based Intrusion Detection for Storage Area Networks (SANs)
Storage systems are the next frontier for providing protection against intrusion. Since storage systems see changes to persistent data, several types of intrusions can be detected...
Mohammad Banikazemi, Dan E. Poff, Bülent Abal...