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» Data Mining for Intrusion Detection: Techniques, Application...
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JCP
2006
173views more  JCP 2006»
14 years 9 months ago
Database Intrusion Detection using Weighted Sequence Mining
Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
Abhinav Srivastava, Shamik Sural, Arun K. Majumdar
88
Voted
ACSAC
2004
IEEE
15 years 1 months ago
Visualizing and Identifying Intrusion Context from System Calls Trace
Anomaly-based Intrusion Detection (AID) techniques are useful for detecting novel intrusions without known signatures. However, AID techniques suffer from higher false alarm rate ...
Zhuowei Li, Amitabha Das
CCS
2008
ACM
14 years 11 months ago
Principled reasoning and practical applications of alert fusion in intrusion detection systems
It is generally believed that by combining several diverse intrusion detectors (i.e., forming an IDS ensemble), we may achieve better performance. However, there has been very lit...
Guofei Gu, Alvaro A. Cárdenas, Wenke Lee
AINA
2010
IEEE
14 years 1 months 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...
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
15 years 1 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok