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» Combined Data Mining Approach for Intrusion Detection
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KDD
2003
ACM
127views Data Mining» more  KDD 2003»
16 years 2 months ago
Towards NIC-based intrusion detection
We present and evaluate a NIC-based network intrusion detection system. Intrusion detection at the NIC makes the system potentially tamper-proof and is naturally extensible to wor...
Matthew Eric Otey, Srinivasan Parthasarathy, Amol ...
JCP
2006
173views more  JCP 2006»
15 years 1 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
RSP
2007
IEEE
158views Control Systems» more  RSP 2007»
15 years 8 months ago
SPP-NIDS - A Sea of Processors Platform for Network Intrusion Detection Systems
A widely used approach to avoid network intrusion is SNORT, an open source Network Intrusion Detection System (NIDS). This work describes SPP-NIDS, a architecture for intrusion de...
Luis Carlos Caruso, Guilherme Guindani, Hugo Schmi...
DBSEC
2001
115views Database» more  DBSEC 2001»
15 years 3 months ago
Randomly roving agents for intrusion detection
Agent based intrusion detection systems IDS have advantages such as scalability, recon gurability, and survivability. In this paper, we introduce a mobile-agent based IDS, called ...
Ira S. Moskowitz, Myong H. Kang, LiWu Chang, Garth...
95
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NSPW
2004
ACM
15 years 7 months ago
The role of suspicion in model-based intrusion detection
We argue in favor of the explicit inclusion of suspicion as a concrete concept to be used in the analysis of audit data in order to guide the search for evidence of misuse. Our ap...
Timothy Hollebeek, Rand Waltzman