learning intrusion detection
RSS learning intrusion detection
Sort by: Relevance | Date
Semi-Supervised Co-Training and Active Learning Based Approach for Multi-View Intrusion Detection
White Paper This proves to be a significant bottle-neck for developing supervised intrusion detection systems that rely solely on labeled data. In spite of the data being collected from real network environments and... [20 Jun 2009]
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]
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]
Data Fusion and Cost Minimization for Intrusion Detection
White Paper A variety of classical machine learning and pattern recognition algorithms has been applied to intrusion detection with varying levels of success. Statistical pattern recognition... [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]
Novel Intrusion Prevention and Detection Methods
White Paper Analysis of contemporary Information Security Systems (ISS) and especially the case of Intrusion Detection Systems (IDS) shows one few character negative features and drawbacks. A research is going on... [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]
Analysis of Different Architectures of Neural Networks for Application in Intrusion Detection Systems
White Paper Usually, Intrusion Detection Systems (IDS) work using two methods of identification of attacks: by signatures that are specific defined elements of the network traffic possible to identification and by... [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]
Adaptive Intrusion Detection Based on Machine Learning: Feature Extraction, Classifier Construction and Sequential Pattern Prediction
White Paper In this paper, a general framework of adaptive intrusion detection based on machine learning is presented. In recent years, intrusion detection has... [14 Oct 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]
Data Mining and Machine Learning - Towards Reducing False Positives in Intrusion Detection
White Paper This paper presents two orthogonal and complementary approaches to reduce the number of false positives in intrusion detection using alert postprocessing by data mining and machine... [01 Oct 2008]
Selecting Features for Intrusion Detection: A Feature Relevance Analysis on KDD 99 Intrusion Detection Datasets
White Paper Numerous researchers employed the datasets in KDD 99 intrusion detection competition to study the utilization of machine learning for intrusion... [19 Jun 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]
Keep updated for stories matching learning intrusion detection via RSS
