Buscar
Mostrando ítems 21-30 de 772
Kappa-fuzzy ARTMAP: A feature selection based methodology to intrusion detection in computer networks
(2013-12-01)
Intrusions in computer networks have driven the development of various techniques for intrusion detection systems (IDSs). In general, the existing approaches seek two goals: high detection rate and low false alarm rate. ...
Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI
(2020-01-01)
Select from the best features in a complex dataset that is a critical task for machine learning algorithms. This work presents a comparative analysis between two resource selection techniques: Minimum Redundancy Maximum ...
Anomaly based Intrusion Detection using Modified Fuzzy Clustering
This paper presents a network anomaly detection method based on fuzzy clustering. Computer security has become an increasingly vital field in computer science in response to the proliferation of private sensitive information. ...
An Optimum-Path Forest framework for intrusion detection in computer networks
(Pergamon-Elsevier B.V. Ltd, 2014)
Intrusion detection in computer networks using optimum-path forest clustering
(2012-12-01)
Nowadays, organizations face the problem of keeping their information protected, available and trustworthy. In this context, machine learning techniques have also been extensively applied to this task. Since manual labeling ...
Intrusion detection in computer networks using optimum-path forest clustering
(2012-12-01)
Nowadays, organizations face the problem of keeping their information protected, available and trustworthy. In this context, machine learning techniques have also been extensively applied to this task. Since manual labeling ...
Optimum-path forest stacking-based ensemble for intrusion detection
(Springer, 2021-05-12)
Machine learning techniques have been extensively researched in the last years, mainly due to their effectiveness when dealing with recognition or classification applications. Typically, one can comprehend using a Machine ...