☆32Jul 22, 2022Updated 3 years ago
Alternatives and similar repositories for Malware-Detection-API-Sequence-Intrinsic-Features
Users that are interested in Malware-Detection-API-Sequence-Intrinsic-Features are comparing it to the libraries listed below
Sorting:
- ☆25Nov 22, 2021Updated 4 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆34Dec 9, 2024Updated last year
- ☆13Dec 30, 2021Updated 4 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Mar 17, 2022Updated 3 years ago
- Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.☆21Nov 30, 2020Updated 5 years ago
- FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…☆21Sep 18, 2021Updated 4 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆257Nov 22, 2021Updated 4 years ago
- ☆11Jan 5, 2022Updated 4 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆75Sep 2, 2022Updated 3 years ago
- Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?☆14Aug 24, 2022Updated 3 years ago
- Malware Detection using Convolutional Neural Networks☆12Mar 24, 2023Updated 2 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆14Dec 27, 2020Updated 5 years ago
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆91Mar 31, 2024Updated last year
- 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)☆36Dec 27, 2021Updated 4 years ago
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆14Apr 22, 2024Updated last year
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆16Mar 14, 2025Updated 11 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☆13May 14, 2022Updated 3 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…☆38Jul 25, 2021Updated 4 years ago
- Create adversarial attacks against machine learning Windows malware detectors☆244Nov 27, 2025Updated 3 months ago
- Extracting the ACFG feature of each function from the binary file based on angr☆20Mar 21, 2019Updated 6 years ago
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆40Aug 2, 2021Updated 4 years ago
- 使用Bert做embedding,结合BiLSTM做恶意软件的多分类任务☆42Nov 18, 2020Updated 5 years ago
- A new version used Androguard but not Soot to realize MaMadroid。☆19Mar 17, 2021Updated 4 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆48Jan 10, 2022Updated 4 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆56May 14, 2024Updated last year
- Discovering Malicious Functionality through Binary Reconstruction☆59Sep 2, 2021Updated 4 years ago
- Public datasets of malware and benign executable files (Windows EXE files). The dataset can be used by cybersecurity researchers focusing…☆24Jul 25, 2023Updated 2 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆111Jul 25, 2024Updated last year
- Malware Detection and Classification Using Machine Learning☆344Jun 5, 2017Updated 8 years ago
- 基于深度学习的恶意软件检测研究;MalConv;☆118Jun 22, 2022Updated 3 years ago
- CamoDroid is an open-source and open-architecture Android application dynamic analysis environment (sandbox) that is resilient against em…☆33Jan 3, 2022Updated 4 years ago
- ☆28Oct 21, 2020Updated 5 years ago
- Code for the paper "EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis"☆39Oct 5, 2023Updated 2 years ago
- Transformer Neural Network for Dynamic Malware Detection☆38Jan 29, 2026Updated last month
- Malware Classification using Machine learning☆77Nov 9, 2024Updated last year
- ☆80Dec 6, 2019Updated 6 years ago
- Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malwar…☆73Nov 10, 2019Updated 6 years ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆73Sep 25, 2023Updated 2 years ago
- Elastic Malware Benchmark for Empowering Researchers☆1,130Nov 22, 2024Updated last year