An anomaly detection system based on variable N-gram features and one-class SVM

Title
An anomaly detection system based on variable N-gram features and one-class SVM
Authors
Keywords
Software security, Anomaly detection systems, Intrusion detection and prevention, Feature extraction, Tracing, System calls
Journal
INFORMATION AND SOFTWARE TECHNOLOGY
Volume 91, Issue -, Pages 186-197
Publisher
Elsevier BV
Online
2017-07-23
DOI
10.1016/j.infsof.2017.07.009

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

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started