cridin1 / malware-classification-CNNLinks
This GitHub repository contains an implementation of a malware classification/detection system using Convolutional Neural Networks (CNNs).
β30Updated last year
Alternatives and similar repositories for malware-classification-CNN
Users that are interested in malware-classification-CNN are comparing it to the libraries listed below
Sorting:
- Dataset with labeled benign and malicious files ποΈβ129Updated last year
- Malware Classification using Machine learningβ73Updated 8 months ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calβ¦β243Updated 3 years ago
- A neural approach to malware detection in portable executablesβ78Updated 2 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"β46Updated 3 years ago
- Training Vision Transformers from Scratch for Malware Classificationβ28Updated 3 years ago
- Assessing π the impact of class imbalance on model performance and convergence for malware byteplot image π classificationβ14Updated last year
- revisedβ22Updated 4 years ago
- Discovering Malicious Functionality through Binary Reconstructionβ55Updated 3 years ago
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon β¦β83Updated last year
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detectionβ70Updated 4 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.β71Updated 2 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.β31Updated 7 months ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detectionβ145Updated last year
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"β53Updated last year
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Pritβ¦β35Updated 2 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)β21Updated 3 years ago
- Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)β13Updated 2 years ago
- Offical Implementation for PalmTreeβ144Updated last year
- β32Updated 4 years ago
- β36Updated 11 months ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysisβ86Updated last year
- β15Updated 3 years ago
- This repository contains scripts and dataset for a Apt Identification Triage Systemβ15Updated 5 years ago
- Transformer Neural Network from Dynamic Malware Detectionβ31Updated last year
- A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.β73Updated 2 years ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-armeβ¦β44Updated 2 months ago
- A curated dataset of malware and benign Windows executable samples for malware researchersβ46Updated 8 months ago
- β31Updated 2 years ago
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Driftβ12Updated 3 months ago