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» Network Intrusion Detection System with Data Mart
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135
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ACSC
2005
IEEE
15 years 9 months ago
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
Kingsly Leung, Christopher Leckie
RAID
1999
Springer
15 years 7 months ago
Improving Intrusion Detection Performance using Keyword Selection and Neural Networks
The most common computer intrusion detection systems detect signatures of known attacks by searching for attack-specific keywords in network traffic. Many of these systems suffer ...
Richard Lippmann, Robert K. Cunningham
178
Voted
ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
15 years 5 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...
124
Voted
SIGMETRICS
2003
ACM
136views Hardware» more  SIGMETRICS 2003»
15 years 8 months ago
Internet intrusions: global characteristics and prevalence
Network intrusions have been a fact of life in the Internet for many years. However, as is the case with many other types of Internet-wide phenomena, gaining insight into the glob...
Vinod Yegneswaran, Paul Barford, Johannes Ullrich
147
Voted
IEEEIAS
2009
IEEE
15 years 10 months ago
Fuzzy Intrusion Detection System via Data Mining Technique with Sequences of System Calls
: There are two main approaches for implementing IDS; Host based and Network based. While the former is implemented in form of software deployed on a host, the latter, usually is b...
Mohammad Akbarpour Sekeh, Mohd. Aizani Bin Maarof