learning detection system

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 Detection System,... [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 detection accuracy for... [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 rules, using a... [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 cup, none of them... [20 Jun 2009]

MLX White Paper - Machine Learning to Beat Spam Today and Tomorrow

White Paper As spammers employ increasingly sophisticated techniques to avoid detection by antispam rules and heuristics currently in widespread use, these simplistic antispam solutions have become less and less effective. [20 Jun 2009]

Rule-Based Anomaly Detection on IP Flows

White Paper This paper exploits correlations between packet and flow level information via a Machine Learning (ML) approach to associate packet level alarms with a feature vector derived from flow records on the same traffic. [29 May 2009]

EMS Email Security: Spam and virus-free email without the need for constant IT administration

White Paper EMS Email Security leverages machine learning techniques to provide a revolutionary spam detection system that inspects every message for hundreds of thousands of threat attributes... [18 Mar 2009]

The Weekly Round-Up: 23.01.09

Round-Up If the designers are looking for upgrade options for version two, The Round-Up would suggest a plagiarism detection system that reads an essay and spiders the entire web, in less than five nano-seconds. [23 Jan 2009]

Battlefield tech busts budget by £141m

News A National Audit Office (NAO) report into 20 Ministry of Defence major projects to develop a range of aircraft, vehicle, communication, missile and detection systems found that over the last year their schedules had... [17 Dec 2008]

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 participating nodes,... [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 thereof is to... [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 attribute-query.... [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 things. AIs could... [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 Systems are based on neural... [17 Jun 2008]

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