Confidence guided anomaly detection model for anti-concept drift in dynamic logs

Title
Confidence guided anomaly detection model for anti-concept drift in dynamic logs
Authors
Keywords
Concept drift, Non-conformity measure, Multi-algorithm combined detection, Conformal prediction
Journal
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
Volume 162, Issue -, Pages 102659
Publisher
Elsevier BV
Online
2020-04-15
DOI
10.1016/j.jnca.2020.102659

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

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now