yan-scnu / Prompted_Dynamic_DetectionLinks
Official implementation of Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4
☆30Updated last year
Alternatives and similar repositories for Prompted_Dynamic_Detection
Users that are interested in Prompted_Dynamic_Detection are comparing it to the libraries listed below
Sorting:
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆14Updated 7 months ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆147Updated last year
- ☆20Updated 3 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Updated 4 years ago
- ☆16Updated 4 years ago
- TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malwa…☆60Updated last year
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆72Updated 2 years ago
- 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…☆35Updated 4 years ago
- ☆31Updated 3 years ago
- 基于深度学习的恶意软件检测研究;MalConv;☆108Updated 3 years ago
- Codes for AICS'2019 challenge problem☆22Updated 6 years ago
- A curated list of malware-related papers.☆33Updated last year
- Discovering Malicious Functionality through Binary Reconstruction☆58Updated 4 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆55Updated last year
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆73Updated 3 years ago
- ☆13Updated 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)☆32Updated 3 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆47Updated 3 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆51Updated 6 months ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆34Updated 10 months ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆93Updated 3 years ago
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆39Updated 4 years ago
- A neural approach to malware detection in portable executables☆79Updated 2 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☆52Updated 2 years ago
- Evading Provenance-Based ML Detectors with Adversarial System Actions☆33Updated last year
- ☆42Updated 4 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆249Updated 3 years ago
- ATLAS: A Sequence-based Learning Approach for Attack Investigation☆168Updated 3 years ago
- A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.☆28Updated 2 years ago