Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach

Title
Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach
Authors
Keywords
-
Journal
COMPUTERS & SECURITY
Volume 73, Issue -, Pages 326-344
Publisher
Elsevier BV
Online
2017-12-02
DOI
10.1016/j.cose.2017.11.007

Ask authors/readers for more resources

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

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