PowerLZY / MalConv-Pytorch

Related projects ⓘ

Alternatives and complementary repositories for MalConv-Pytorch

• ylhao / malware-detection-based-on-cnn
  基于卷积神经网络的恶意软件检测方法
  ☆49Updated 5 years ago
• eastmountyxz / Paper-Malicious-Code-Detection
  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~
  ☆13Updated 4 years ago
• BiancaGuo / malware_classification_system
  本科毕业设计_恶意代码检测分类平台
  ☆35Updated 5 years ago
• a574824551 / Malware_detection_system_based_CNN
  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%。
  ☆22Updated 4 years ago
• PowerLZY / MalGAN
  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
• Asichurter / MalFusionFSL
  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）
  ☆28Updated 2 years ago
• ryderling / MalGraph
  Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"
  ☆41Updated 2 years ago
• nikeluobinxiaoma / Learning-Based-PE-Malware-Family-Classification-Methods
  ☆11Updated 2 years ago
• dasilaoluoao / Malware-Detect
  基于深度学习的恶意代码检测
  ☆14Updated 4 years ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆27Updated 2 years ago
• Bowen-n / MCBG
  Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)
  ☆18Updated 2 years ago
• VoldyRCX / MalwareAnalyze
  基于机器学习的恶意代码检测
  ☆11Updated 5 years ago
• eastmountyxz / AI-Security-Paper
  This resource mainly counts papers related to APT attacks, including APT traceability, APT knowledge graph construction, APT malicious sa…
  ☆199Updated 6 months ago
• bitterzzZZ / Bert-malware-classification
  使用Bert做embedding，结合BiLSTM做恶意软件的多分类任务
  ☆41Updated 4 years ago
• deqangss / aics2019_challenge_adv_mal_defense
  Codes for AICS'2019 challenge problem
  ☆22Updated 5 years ago
• eastmountyxz / AI-for-Malware-Analysis-
  这是作者恶意代码分析、网络安全、系统安全等系列教程，主要是通过机器学习、人工智能和深度学习来分析恶意代码的在线笔记。希望对您有所帮助，学无止境，一起加油。
  ☆98Updated 4 years ago
• kericwy1337 / Datacon2019-Malicious-Code-DataSet-Stage2
  ☆11Updated 5 years ago
• ryderling / adversarial-attacks-and-defenses-for-windows-pe-malware-detection
  A curated resource list of adversarial attacks and defenses for Windows PE malware detection.
  ☆67Updated 2 years ago
• kericwy1337 / Datacon2019-Malicious-Code-DataSet-Stage1
  ☆19Updated 5 years ago
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆27Updated 4 years ago
• seclab-fudan / APIGraph
  Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors
  ☆78Updated 2 years ago
• WentaoWei1996 / MalwareDetection
  恶意软件检测系统后端代码
  ☆12Updated 3 years ago
• friendllcc / DMalNet
  ☆16Updated 2 years ago
• yhangf / DataCon
  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
  ☆103Updated 3 years ago
• yuxiaorun / MalConv-Adversarial
  Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf
  ☆18Updated 6 years ago
• yuriufo / DataCon2020
  DataCon2020大数据安全分析大赛，🏆【方向五】恶意代码分析冠军源码。
  ☆109Updated 4 years ago
• E0HYL / MsDroid
  An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…
  ☆50Updated 9 months ago
• undefinedXD / WestLakeSwordComp
  西湖论剑AI大数据安全分析赛 加密恶意流量检测赛道初赛第一名，决赛第二名方案
  ☆19Updated 3 years ago
• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆55Updated last year