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» Network Intrusion Detection System with Data Mart
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ACSC
2005
IEEE
15 years 5 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 3 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
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...
SIGMETRICS
2003
ACM
136views Hardware» more  SIGMETRICS 2003»
15 years 4 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
IEEEIAS
2009
IEEE
15 years 6 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