An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization

Title
An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization
Authors
Keywords
Intrusion detection, Support vector machine, Parameter setting, Feature selection
Journal
NEUROCOMPUTING
Volume 199, Issue -, Pages 90-102
Publisher
Elsevier BV
Online
2016-05-01
DOI
10.1016/j.neucom.2016.03.031

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started