Skip to content

The classifier judged this item not relevant to AI security, so it is left out of lists, feeds, the API and dataset releases. If that is wrong, report a correction on this page.

InfoResearchPeer-reviewed

A Comprehensive Analysis of Machine Learning-Based File Trap Selection Methods to Detect Crypto Ransomware

Published
Record updated

Summary

This paper surveys machine learning methods for selecting file traps, decoy files used to detect crypto ransomware. The source text is only bibliographic metadata (journal, volume, issue, page range and date), with no abstract, method or findings included.