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SETS-NIRAM Neural Repository of Images for Ransomware Analysis and Modeling

SETS-NIRAM Neural Repository of Images for Ransomware Analysis and Modeling

The dataset focuses on ransomware detection and defensive security research. It contains multiple types of data useful for building and evaluating machine learning models.

About Dataset

This dataset is collected by converting ransomware and benign PE files into images(grayscale and RGB).It contains 500 images of ransomware and 500 images of benign software.The RGB images are obtained by calculating entropy-bigram-markov transition of the bytes present in PE files.The grayscale images are obtained by calculating entropy of PE files and saving it as an image and applying gabor filters on the processed image.The above process was done in an isolated and controlled environment to avoid ransomware propagation and accidental infection.Reverse engineering samples from images is impossible as images are obfuscated by adding noise and helps in defending against adversarial attacks and can be used for research purposes.

Purpose of Dataset

⚠️ Use Strictly For Defensive And Academic Purposes Only

Activity Overview Activity Overview

  • Downloads0
  • Downloads 0
  • File Size 41.83 MB
  • Views 18

Tags Tags

  • Cybersecurity

License Control License Control

Attribution-Non-Commercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

exe_to_image ( 1 directories )


Directory
Dataset

1 directories

Data Quality Score BetaData Quality Score Beta

Version Control Version Control

FolderVersion 1(41.83 MB)
  • M SWATHI MITHRAN·10 day(s) ago
    • chevron_rightFolder
      exe_to_image
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        Dataset