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Detecting a Denial of Service Using Artificial Intelligent Tools, Genetic Algorithm
White Paper In this paper the proposition of learning the Intrusion Detection, rules based on genetic algorithms is presented. A brief overview of Intrusion... [20 Jun 2009]
Ensemble of One-Class Classifiers for Network Intrusion Detection System
White Paper To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. Empirical results show an improvement in... [20 Jun 2009]
Rule Generalisation Using Snort
White Paper Intrusion Detection Systems (IDSs) provide an important layer of security for computer systems and networks. In particular, one attempted to relax and vary the conditions and parameters of current SNORT... [20 Jun 2009]
Some Clustering Algorithms to Enhance the Performance of the Network Intrusion Detection System
White Paper Most current intrusion detection systems are signature based ones or machine learning based methods. Despite the number of machine learning algorithms applied to KDD 99... [20 Jun 2009]
Analysis of Three Intrusion Detection System Benchmark Datasets Using Machine Learning Algorithms
White Paper Of the three sources, two of the traffic sources were synthetic, which means the traffic was generated in a controlled environment for intrusion detection benchmarking. This paper employed two machine... [03 Dec 2008]
INTCTD: A Peer-to-Peer Approach for Intrusion Detection
White Paper This paper proposes a Peer-to-Peer (P2P) prototype (INTCTD) for intrusion detection over an overlay network. Automated learning and online knowledge sharing are employed among the... [29 Nov 2008]
Feature Selection for Intrusion Detection Using Neural Networks and Support Vector Machines
White Paper This paper concerns using CI-type learning machines for intrusion detection, which is a problem of general interest to transportation infrastructure protection since a necessary task... [14 Oct 2008]
Intrusion Detection by Backpropagation Neural Networks With Sample-Query and Attribute-Query
White Paper This paper proposes a new learning methodology towards developing a novel Intrusion Detection System (IDS) by BackPropagation Neural networks (BPN) with sample-query and... [19 Jun 2008]
Using Artificial Intelligence in Intrusion Detection Systems
White Paper Artificial Intelligence could make the use of Intrusion Detection Systems a lot easier than it is today. As always, the hardest thing with learning AIs, is to make them learn the right... [19 Jun 2008]
Performance Comparison of Intrusion Detection System Classifiers Using Various Feature Reduction Techniques
White Paper This paper compares the performance of Intrusion Detection System (IDS) Classifiers using various feature reduction techniques. Many Intrusion Detection... [17 Jun 2008]
Genetic Algorithm for Framing Rules for Intrusion Detection
White Paper In this paper the method of learning the Intrusion Detection, rules based on genetic algorithms is presented. A brief overview of Intrusion Detection... [31 May 2008]
Unsupervised Learning Techniques for an Intrusion Detection System
White Paper With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are increasingly limited by... [21 May 2008]
Feature Selection in Intrusion Detection System Over Mobile Ad-Hoc Network
White Paper This paper investigated some intrusion detection techniques using machine learning and proposed a profile based neighbor monitoring intrusion detection... [23 Aug 2007]
Virtual Laboratory Intrusion Detection Experience for Information Systems Professionals
White Paper This paper describes how to design and implement an intrusion detection module that may be implemented in various courses taught in an information system curriculum and covers the... [01 Apr 2007]
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