基于卷积神经网络的恶意软件检测方法
☆61May 21, 2019Updated 7 years ago
Alternatives and similar repositories for malware-detection-based-on-cnn
Users that are interested in malware-detection-based-on-cnn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 本科毕业设计，参考LENET-5模型，将恶意软件转化为灰度图，通过卷积神经网络实现了恶意软件检测分类，准确率达98%。☆28Jul 29, 2026Updated last month
- 基于深度学习的恶意软件检测研究；MalConv;☆120Jun 22, 2022Updated 4 years ago
- CNN based android malware detection system☆22Aug 12, 2019Updated 7 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…☆40Jul 25, 2021Updated 5 years ago
- This project is Malware detection API using ML and CNN techniques☆25Apr 29, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Malware detection using CNN☆12Aug 14, 2018Updated 8 years ago
- ☆28Oct 21, 2020Updated 5 years ago
- DigDog-基于深度学习和内存取证技术的恶意软件检测框架☆10Mar 14, 2023Updated 3 years ago
- ☆14Dec 30, 2021Updated 4 years ago
- 基于深度学习的恶意代码检测☆19Jun 12, 2020Updated 6 years ago
- A large-scale database of malicious software images☆51Aug 27, 2021Updated 5 years ago
- 该资源为恶意代码检测相关的论文或文章总结，包括作者撰写的恶意代码与机器学习、深度学习相关博客，希望对您有所帮助~☆15Jul 25, 2020Updated 6 years ago
- This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adv…☆97Nov 1, 2018Updated 7 years ago
- 利用机器学习实现android恶意软件检测模型☆17Jul 31, 2019Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- the instructions about request access to AdvDroidZero☆13Apr 10, 2024Updated 2 years ago
- Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malwar…☆76Nov 10, 2019Updated 6 years ago
- TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malwa…☆68Feb 21, 2024Updated 2 years ago
- Malware detection using the Drebin dataset☆20Aug 11, 2023Updated 3 years ago
- 提取安卓软件的n-gram特征☆24Aug 5, 2018Updated 8 years ago
- 使用Bert做embedding，结合BiLSTM做恶意软件的多分类任务☆41Nov 18, 2020Updated 5 years ago
- 本科毕业设计_恶意代码检测分类平台☆41Aug 13, 2019Updated 7 years ago
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆40Aug 2, 2021Updated 5 years ago
- ☆40Aug 8, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆151Nov 21, 2023Updated 2 years ago
- using Drebin dataset to distinguish between malwares and not malwares☆13Jan 5, 2019Updated 7 years ago
- A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.☆76Sep 12, 2025Updated 11 months ago
- Pytorch implementation of MalConv☆72Feb 1, 2022Updated 4 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆262Nov 22, 2021Updated 4 years ago
- A deep learning project which uses a method that converts malware .bytes files into gray-scale images and uses a CNN deep learning model …☆40Oct 6, 2022Updated 3 years ago
- A malware family classification model based on CNN☆27Nov 7, 2022Updated 3 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☆21Jan 24, 2022Updated 4 years ago
- A list of JARM fingerprints from malicious IPs, matched against known C2 fingerprints.☆13Jun 9, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Malware Detection and Classification Using Machine Learning☆348Jun 5, 2017Updated 9 years ago
- Android 恶意软件检测系统 使用 java 语言在 windows 环境下执行 apktool 工具的反编译命令，反编译 apk 文件，提取特征集，与恶意样本集比较计算出相似度，根据相似度判断是否为恶意软件。☆34Apr 27, 2022Updated 4 years ago
- ☆35Sep 5, 2020Updated 6 years ago
- 文本分类-深度学习课程大作业☆13Dec 14, 2020Updated 5 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☆60Oct 19, 2023Updated 2 years ago
- Parallel ssdeep clustering kit☆21Dec 24, 2017Updated 8 years ago
- Spot malwares using Machine Learning techniques☆53Nov 29, 2019Updated 6 years ago