Articles on learning intrusion detection

Showing results 1 to 10 of 32

silicon.com > White Papers > Data Management > Data Tools

Data Mining and Machine Learning - Towards Reducing False Positives in Intrusion Detection

Data Mining and Machine Learning - Towards Reducing False Positives in Intrusion Detection

...reduce the number of false positives in intrusion detection using alert postprocessing by data mining and machine learning Read more

Oct 1, 2008

silicon.com > White Papers > Software and Web Development > Software Development Tools

Feature Selection for Intrusion Detection Using Neural Networks and Support Vector Machines

Feature Selection for Intrusion Detection Using Neural Networks and Support Vector Machines

...used for problem solving. This paper concerns using CI-type learning machines for intrusion detection, which is a problem of general interest to transportation infrastructure... Read more

Oct 14, 2008

silicon.com > White Papers > Security > Intrusion - Tampering

Intrusion Detection by Backpropagation Neural Networks With Sample-Query and Attribute-Query

Intrusion Detection by Backpropagation Neural Networks With Sample-Query and Attribute-Query

...risk of loss. This paper proposes a new learning methodology towards developing a novel Intrusion Detection System (IDS) by BackPropagation Neural networks (BPN) with... Read more

Jun 19, 2008

silicon.com > White Papers > Security > Intrusion - Tampering

Selecting Features for Intrusion Detection : A Feature Relevance Analysis on KDD 99 Intrusion Detection Datasets

Selecting Features for Intrusion Detection: A Feature Relevance Analysis on KDD 99 Intrusion Detection Datasets

...researchers employed the datasets in KDD 99 intrusion detection competition to study the utilization of machine learning for intrusion detection and reported detection rates... Read more

Jun 19, 2008

silicon.com > White Papers > Security > Intrusion - Tampering

Using Artificial Intelligence in Intrusion Detection Systems

Using Artificial Intelligence in Intrusion Detection Systems

...the use of Intrusion Detection Systems a lot...hardest thing with learning AIs, is to... Read more

Jun 19, 2008

silicon.com > White Papers > Security > Intrusion - Tampering

Intrusion Detection in Computer Networks Based on Machine Learning Algorithms

Intrusion Detection in Computer Networks Based on Machine Learning Algorithms

...intrusion detection applications face complex requirements; they need to be reliable, extensible, easy to manage, and have low maintenance cost. In recent years, machine learning... Read more

Dec 23, 2009

silicon.com > White Papers > Security > Intrusion - Tampering

Intrusion Detection Using Rough Set Parallel Genetic Programming Based Hybrid Model

Intrusion Detection Using Rough Set Parallel Genetic Programming Based Hybrid Model

Recently machine learning-based Intrusion Detection systems (IDs) have been subjected to extensive researches because they... Read more

Dec 16, 2009

silicon.com > White Papers > Security > Intrusion - Tampering

Some Clustering Algorithms to Enhance the Performance of the Network Intrusion Detection System

Some Clustering Algorithms to Enhance the Performance of the Network Intrusion Detection System

Most current intrusion detection systems are signature based ones or machine learning based methods. Despite the number of machine... Read more

Jun 20, 2009

silicon.com > White Papers > Software and Web Development > Software Development Tools

Analysis of Three Intrusion Detection System Benchmark Datasets Using Machine Learning Algorithms

Analysis of Three Intrusion Detection System Benchmark Datasets Using Machine Learning Algorithms

...employed two machine learning algorithms - namely, a...controlled environment for intrusion detection benchmarking. The main... Read more

Dec 4, 2008

silicon.com > White Papers > Software and Web Development > Software Development Tools

Adaptive Intrusion Detection Based on Machine Learning : Feature Extraction, Classifier Construction and Sequential Pattern Prediction

Adaptive Intrusion Detection Based on Machine Learning: Feature Extraction, Classifier Construction and Sequential Pattern Prediction

...problem. In this paper, a general framework of adaptive intrusion detection based on machine learning is presented. In the framework, three perspectives of challenging... Read more

Oct 14, 2008

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