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

• PowerLZY / MalConv-Pytorch
  基于深度学习的恶意软件检测研究；MalConv;
  ☆100Updated 2 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%。
  ☆24Updated 4 years ago
• BiancaGuo / malware_classification_system
  本科毕业设计_恶意代码检测分类平台
  ☆38Updated 5 years ago
• dasilaoluoao / Malware-Detect
  基于深度学习的恶意代码检测
  ☆17Updated 4 years ago
• VoldyRCX / MalwareAnalyze
  基于机器学习的恶意代码检测
  ☆12Updated 6 years ago
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆29Updated 5 months ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆46Updated 3 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~
  ☆14Updated 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…
  ☆34Updated 3 years ago
• WentaoWei1996 / MalwareDetection
  恶意软件检测系统后端代码
  ☆12Updated 4 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）
  ☆31Updated 3 years ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆30Updated 2 years ago
• bitterzzZZ / Bert-malware-classification
  使用Bert做embedding，结合BiLSTM做恶意软件的多分类任务
  ☆42Updated 4 years ago
• nikeluobinxiaoma / Learning-Based-PE-Malware-Family-Classification-Methods
  ☆11Updated 3 years ago
• PowerLZY / malware_classification_bdci
  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
  ☆20Updated 3 years ago
• aditya5558 / Android-Malware-Detection
  Android Malware Detection using Deep Learning
  ☆54Updated 5 years ago
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆71Updated 6 months ago
• okokabv / MAPAS
  A Practical Deep Learning-based Android Malware Detection System
  ☆16Updated 2 years ago
• JohnsonGeng / malicious_traffic
  利用强化学习方法 DQN 生成基于机器学习的恶意流量检测模型
  ☆27Updated 3 years ago
• rickyxume / MalwareViT
  Training Vision Transformers from Scratch for Malware Classification
  ☆28Updated 3 years ago
• wzp21142 / NIDS_Reproduction
  Reproduce the code of papers related to the field of NIDS(network intrusion detection system).入侵检测领域的相关论文复现/适配本地PC后的代码.
  ☆25Updated 4 years ago
• danielgibert / mlw_classification_cnn_img
  ☆26Updated 6 years ago
• SayHiRay / malware-detection
  Malware detection using CNN
  ☆12Updated 6 years ago
• iotsecty / malicious_traffic_detection_platform
  基于机器学习的恶意加密流量监测平台
  ☆132Updated 4 years ago
• Bowen-n / MCBG
  Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)
  ☆21Updated 3 years ago
• flame0409 / Android-Malware-Detection
  使用安卓Opcode字节码的N-gram序列特征进行恶意软件检测的完全步骤，使用算法RF，KNN
  ☆19Updated 4 years ago
• namaemonaishi / Encrypted-Malicious-Traffic-Detection-System-Using-Machine-Learning
  使用机器学习的恶意加密流量识别系统
  ☆47Updated last year
• yuxiaorun / MalConv-Adversarial
  Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf
  ☆18Updated 7 years ago
• xvshiting / MFC-CNN
  A malware family classification model based on CNN
  ☆25Updated 2 years ago
• WilliamJQ / Machine-Learning-Based-Intrution-Detection-System
  基于机器学习的入侵检测系统
  ☆76Updated 5 years ago