mahitaberrefae / Malware-DetectionLinks
With the growth of mobile devices and applications, the number of malicious software, or malware, is rapidly increasing in recent years, which calls for the development of advanced and effective malware detection approaches. We propose an android malware detection system using a deep learning technique called graph convolutional neural networks.…
☆24Updated 5 years ago
Alternatives and similar repositories for Malware-Detection
Users that are interested in Malware-Detection are comparing it to the libraries listed below
Sorting:
- ☆61Updated 7 years ago
- Malware detection in android using permissions, API calls, CFGs as features☆17Updated 7 years ago
- Deep Learning Based Android Malware Detection Framework☆40Updated 4 years ago
- Android Malware Detection using Deep Learning☆54Updated 5 years ago
- revised☆22Updated 4 years ago
- Android malware detection using static and dynamic analysis☆39Updated 6 years ago
- CNN based android malware detection system☆22Updated 5 years ago
- Android Malware detection using Deep Learning Hybrid Model.☆24Updated 7 years ago
- Android Malware Detection Using Machine Learning Classifiers ( Using Permissions requested by Apps)☆55Updated 2 years ago
- The repository contains the python implementation of the Android Malware Detection paper: "Empirical assessment of machine learning-based…☆24Updated 7 years ago
- ☆14Updated 7 years ago
- A Practical Deep Learning-based Android Malware Detection System☆16Updated 2 years ago
- android-malware-classification using machine learning algorithms☆12Updated 4 years ago
- Training Vision Transformers from Scratch for Malware Classification☆28Updated 3 years ago
- Drebin - NDSS 2014 Re-implementation☆107Updated 7 years ago
- Transfer Learning for Image-Based Malware Classification☆46Updated 3 years ago
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆38Updated 3 years ago
- Malware detection demo using machine learning.☆25Updated 7 years ago
- Source Code of AndrOpGAN: An Android Opcode Generative Adversarial Network for the Obfuscation in Making Malwares☆8Updated 4 years ago
- Implementation of the paper "Deep Android Malware Detection" as part of the course project for the course Information Assurance & Securit…☆9Updated 7 years ago
- MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis☆43Updated 5 years ago
- Bachelor Thesis for XAMK - Machine Learning Methods for Malware Detection and Classification☆12Updated 5 years ago
- Mining API-Level Features for Robust Malware Detection in Android☆24Updated 7 years ago
- One script to create a permission-based dataset of android applications for your next ML Malware Detection gizmo.☆17Updated 2 years ago
- ☆16Updated 2 years ago
- ☆11Updated last year
- Malware Classification using Machine learning☆71Updated 6 months ago
- ☆21Updated 5 years ago
- Evaluation of ML models in Android malware classification, adversarial attacks on DNNs & defense mechanisms☆12Updated 5 years ago
- ☆22Updated last year