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;
  ☆117Updated 3 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%。
  ☆25Updated 5 years ago
• BiancaGuo / malware_classification_system
  本科毕业设计_恶意代码检测分类平台
  ☆41Updated 6 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…
  ☆38Updated 4 years ago
• VoldyRCX / MalwareAnalyze
  基于机器学习的恶意代码检测
  ☆13Updated 6 years ago
• nikeluobinxiaoma / Learning-Based-PE-Malware-Family-Classification-Methods
  ☆11Updated 4 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.
  ☆26Updated 4 years ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆32Updated 3 years ago
• dasilaoluoao / Malware-Detect
  基于深度学习的恶意代码检测
  ☆19Updated 5 years ago
• KlausMichael0 / Taffic_Anomaly_Detection_based_on_Neural_Network
  基于神经网络的流量异常检测
  ☆153Updated 5 years ago
• iotsecty / malicious_traffic_detection_platform
  基于机器学习的恶意加密流量监测平台
  ☆146Updated 4 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 5 years ago
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆34Updated last year
• huashishaojie / IDS-CNN
  使用卷积神经网络进行网络入侵检测，正确率可达99.5%
  ☆198Updated 6 years ago
• AltarIbnL / Network-anomaly-detection-with-deep-learning-along-with-UI
  ☆152Updated 2 years ago
• Coldwave96 / MaliciousUrls_Part2
  机器学习检测恶意URL改进版
  ☆26Updated 5 years ago
• deqangss / aics2019_challenge_adv_mal_defense
  Codes for AICS'2019 challenge problem
  ☆22Updated 6 years ago
• kericwy1337 / Datacon2019-Malicious-Code-DataSet-Stage1
  ☆27Updated 6 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）
  ☆35Updated 4 years ago
• SatouGakuW / Encrypted_traffic_classification
  UCAS春季学期课程 网络空间安全态势感知 加密流量分类中间结果数据集
  ☆24Updated 3 years ago
• WilliamJQ / Machine-Learning-Based-Intrution-Detection-System
  基于机器学习的入侵检测系统
  ☆83Updated 6 years ago
• HONKONE / MalwareMachineLearning
  基于恶意样本的图像化，对恶意代码进行机器学习并进行检测
  ☆11Updated 7 years ago
• WentaoWei1996 / MalwareDetection
  恶意软件检测系统后端代码
  ☆12Updated 5 years 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~
  ☆15Updated 5 years ago
• riak16 / Malware-Detection-using-Deep-Learning
  Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malwar…
  ☆73Updated 6 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
  ☆49Updated 2 years ago
• cxmirene / KDDCUP99-Detection
  使用贝叶斯、神经网络、KNN进行入侵检测（KDD-CUP99）
  ☆81Updated 5 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
  ☆21Updated 4 years ago
• kericwy1337 / Datacon2019-Malicious-Code-DataSet-Stage2
  ☆14Updated 6 years ago