nikeluobinxiaoma / Learning-Based-PE-Malware-Family-Classification-Methods
☆11Updated 3 years ago
Alternatives and similar repositories for Learning-Based-PE-Malware-Family-Classification-Methods:
Users that are interested in Learning-Based-PE-Malware-Family-Classification-Methods are comparing it to the libraries listed below
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆20Updated 2 years ago
- ☆17Updated 2 years ago
- ☆28Updated 2 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）☆29Updated 3 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆43Updated 3 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆29Updated last month
- 基于深度学习的恶意软件检测研究；MalConv;☆93Updated 2 years ago
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆11Updated last week
- 主题为”基于GAN的恶意软件对抗样本生成“。首先介绍了恶意软件发展现状，引出基于模式匹配、特征空间和问题空间三种方式去检测恶意软件。然后介绍了如何生成对抗样本攻击恶意软件检测器，详细介绍了基于GAN的恶意软件对抗样本的MalGAN框架，并对实验结果进行了对比。最后总结了结构…☆31Updated 3 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆12Updated 4 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆52Updated 3 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆80Updated 2 years ago
- An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…☆52Updated 11 months ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆69Updated 2 years ago
- ☆12Updated 5 years ago
- Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)☆12Updated last year
- ☆22Updated 5 years ago
- Official implementation of Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4☆27Updated last year
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆18Updated 6 years ago
- 2021 CCF BDCI 数字安全公开赛“基于人工智能的恶意软件家族分类”赛题第二名Petrichor战队解决方案☆21Updated 3 years ago
- This resource mainly counts papers related to APT attacks, including APT traceability, APT knowledge graph construction, APT malicious sa…☆206Updated 9 months ago
- A curated list of malware-related papers.☆23Updated 11 months ago
- Evading Provenance-Based ML Detectors with Adversarial System Actions☆27Updated 5 months ago
- 结合cuckoo沙箱调用及报告处理实现基于API调用序列和网络流量的恶意代码检测☆10Updated 2 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆55Updated last year
- 基于卷积神经网络的恶意软件检测方法☆49Updated 5 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆48Updated 8 months ago
- Codes for AICS'2019 challenge problem☆22Updated 5 years ago
- ☆15Updated 3 years ago
- FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…☆17Updated 3 years ago