okokabv / MAPAS
A Practical Deep Learning-based Android Malware Detection System
☆14Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for MAPAS
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆35Updated 3 years ago
- Android Malware Detection using Deep Learning☆50Updated 5 years ago
- An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…☆50Updated 9 months ago
- Android malware detection using static and dynamic analysis☆38Updated 5 years ago
- A Static Sensitive Subgraph-based Feature for Android Malware Detection☆11Updated 3 years ago
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆14Updated 2 years ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆129Updated last year
- ☆59Updated 6 years ago
- 从Androzoo下载数据集,区分年份以及良性/恶意应用,支持协程、代理、断点继续、错误重试等☆43Updated last year
- Android Malware detection using Deep Learning Hybrid Model.☆23Updated 6 years ago
- A new version used Androguard but not Soot to realize MaMadroid。☆18Updated 3 years ago
- ☆32Updated 3 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆78Updated 2 years ago
- Detection of Android Malware based on system calls using Support Vector Machines.☆13Updated 3 years ago
- CNN based android malware detection system☆22Updated 5 years ago
- Effectiveness of additional training of an ANN based model in detectining android malware☆16Updated 5 years ago
- Codes for AICS'2019 challenge problem☆22Updated 5 years ago
- ☆12Updated 2 years ago
- Malware detection in android using permissions, API calls, CFGs as features☆16Updated 7 years ago
- revised☆20Updated 4 years ago
- ☆21Updated 4 years ago
- Drebin - NDSS 2014 Re-implementation☆103Updated 6 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆55Updated last year
- A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.☆26Updated last year
- ☆16Updated 2 years ago
- ☆14Updated 6 years ago
- Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?☆13Updated 2 years ago
- ☆19Updated 11 months ago
- MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis☆41Updated 4 years ago
- 使用安卓Opcode字节码的N-gram序列特征进行恶意软件检测的完全步骤,使用算法RF,KNN☆18Updated 4 years ago