Skip to content

HIT4Mal: Hybrid Image Transformation for Malware Detection

Notifications You must be signed in to change notification settings

isseclab-udayton/hit4mal

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

50 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Supplementary Materials for HIT4Mal: Hybrid Image Transformation for Malware Detection

Authors: Duc-Ly Vu, Trong-Kha Nguyen, Tam V. Nguyen, Ngoc-Tu Nguyen, Fabio Massacci, and Phu H. Phung

Contact: Phu H. Phung, email: phu@udayton.edu

Latest Update: June 9, 2019. We are still in process to migrate the data and code from private repositories.

Dataset

The dataset contains 16,000 samples compressed in a single zip file of 2.4GB and is available on Goolge Drive

Source code

See src sub-folder.

Experimental Results

See results sub-folder.

About

HIT4Mal: Hybrid Image Transformation for Malware Detection

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •