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» Intrusion Detection Based on Data Mining
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VLDB
2007
ACM
164views Database» more  VLDB 2007»
16 years 6 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
ICDCS
2003
IEEE
15 years 11 months ago
Cross-Feature Analysis for Detecting Ad-Hoc Routing Anomalies
With the proliferation of wireless devices, mobile ad hoc networking (MANET) has become a very exciting and important technology due to its characteristics of open medium and dyna...
Yi-an Huang, Wei Fan, Wenke Lee, Philip S. Yu
SUTC
2006
IEEE
15 years 11 months ago
Native API Based Windows Anomaly Intrusion Detection Method Using SVM
While many researches of Host Anomaly Detection System using system calls under UNIX/UNIX-like systems have been done but little in Windows systems, we do the similar research und...
Miao Wang, Cheng Zhang, Jingjing Yu
166
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RAID
2004
Springer
15 years 11 months ago
Anomalous Payload-Based Network Intrusion Detection
We present a payload-based anomaly detector, we call PAYL, for intrusion detection. PAYL models the normal application payload of network traffic in a fully automatic, unsupervised...
Ke Wang, Salvatore J. Stolfo
ACSAC
2003
IEEE
15 years 11 months ago
Intrusion Detection: A Bioinformatics Approach
This paper addresses the problem of detecting masquerading, a security attack in which an intruder assumes the identity of a legitimate user. Many approaches based on Hidden Marko...
Scott E. Coull, Joel W. Branch, Boleslaw K. Szyman...