Detection Models for manuscript titled "Hierarchical Malware Detection, Family Identification, and Variant Attribution Using CNN-Based Hybrid Models on Grayscale Executable Images"
Abstract
This document includes the code used for the Manuscript titled, "Hierarchical Malware Detection, Family Identification, and Variant Attribution Using CNN-Based Hybrid Models on Grayscale Executable Images", which has been submitted to 'Scientific Reports' for publication.The codes used in the manuscripts are as follows: 1. Code for Portable Executable (PE) to Grayscale Image Conversion 2. Model 1: CNN+ Temporal Convolutional Network Code 3. Model 2: CNN + Capsule Network Code 4. Model 3: CNN + BiLSTM Code 5. Required Libraries
Fields of Study & Subjects
Advanced Malware Detection Techniques
Security and Verification in Computing
Spam and Phishing Detection
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 February 2026
- Language
- EN