DQinYuan / AndroidMalwareWithN-gramLinks
提取安卓软件的n-gram特征
☆23Updated 7 years ago
Alternatives and similar repositories for AndroidMalwareWithN-gram
Users that are interested in AndroidMalwareWithN-gram are comparing it to the libraries listed below
Sorting:
- 🤖Android malware detection using deep learning, contains android malware samples, papers, tools etc.🐛☆179Updated 5 years ago
- DataCon大数据安全分析大赛,2019年方向二(恶意代码检测)冠军源码、2020年方向五(恶意代码分析)季军源码☆109Updated 4 years ago
- ☆59Updated 7 years ago
- ☆14Updated 7 years ago
- Android Malware detection using Deep Learning Hybrid Model.☆24Updated 7 years ago
- Android Malware Detection using Deep Learning☆53Updated 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☆55Updated 2 years ago
- Drebin - NDSS 2014 Re-implementation☆106Updated 8 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆93Updated 3 years ago
- 阿里云安全恶意程序检测比赛☆116Updated 4 years ago
- Extract call graph from apks using Flowdroid.☆20Updated 5 years ago
- revised☆22Updated 5 years ago
- TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malwa…☆60Updated last year
- ☆172Updated 7 years ago
- Effectiveness of additional training of an ANN based model in detectining android malware☆16Updated 6 years ago
- Code for Deep Android Malware Detection paper☆179Updated 8 years ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆148Updated 2 years ago
- Training Vision Transformers from Scratch for Malware Classification☆30Updated 4 years ago
- Malware detection in android using permissions, API calls, CFGs as features☆18Updated 8 years ago
- DataCon2020大数据安全分析大赛,🏆【方向五】恶意代码分析冠军源码。☆118Updated 5 years ago
- a demo for detecting anomaly url☆40Updated 8 years ago
- ☆42Updated 4 years ago
- Popular Android malware datasets☆164Updated 7 years ago
- ☆23Updated 5 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆47Updated 3 years ago
- Few-Shot malware classification using fused features of static analysis and dynamic analysis (基于静态+动态分析的混合特征的小样本恶意代码分类框架)☆34Updated 3 years ago
- 使用Bert做embedding,结合BiLSTM做恶意软件的多分类任务☆42Updated 5 years ago
- Project FlowCog (2017)☆27Updated 7 years ago
- Kaggle微软恶意代码分类☆153Updated 5 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years ago