Alternatives and similar repositories for Malware_Classification:

Users that are interested in Malware_Classification are comparing it to the libraries listed below

• 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
• RingBDStack / HAWK
  ☆16Updated 2 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
• Asichurter / APISeqFewShot
  FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…
  ☆17Updated 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
• mahitaberrefae / Malware-Detection
  With the growth of mobile devices and applications, the number of malicious software, or malware, is rapidly increasing in recent years, …
  ☆23Updated 5 years ago
• kericwy1337 / Datacon2019-Malicious-Code-DataSet-Stage2
  ☆12Updated 5 years ago
• rickyxume / MalwareViT
  Training Vision Transformers from Scratch for Malware Classification
  ☆28Updated 3 years ago
• seclab-fudan / APIGraph
  Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors
  ☆85Updated 2 years ago
• dasilaoluoao / Malware-Detect
  基于深度学习的恶意代码检测
  ☆17Updated 4 years ago
• ylhao / malware-detection-based-on-cnn
  基于卷积神经网络的恶意软件检测方法
  ☆50Updated 5 years ago
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆29Updated 4 months ago
• nikeluobinxiaoma / Learning-Based-PE-Malware-Family-Classification-Methods
  ☆11Updated 3 years ago
• vikram-mm / Android-Malware-Detection
  ☆61Updated 7 years ago
• kericwy1337 / Datacon2019-Malicious-Code-DataSet-Stage1
  ☆25Updated 5 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
• vasilisprf / Android-Malware-Detection-Adversarial-Examples
  Evaluation of ML models in Android malware classification, adversarial attacks on DNNs & defense mechanisms
  ☆12Updated 5 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
• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆57Updated 2 years ago
• PowerLZY / MalConv-Pytorch
  基于深度学习的恶意软件检测研究；MalConv;
  ☆98Updated 2 years ago
• sammy4321 / Android-Malware-Detection-Using-Deep-Learning
  ☆14Updated 7 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
• vinayakakv / android-malware-detection
  Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
  ☆38Updated 3 years ago
• dherath / CFGExplainer
  [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…
  ☆35Updated 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%。
  ☆23Updated 4 years ago
• E0HYL / MsDroid
  An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…
  ☆57Updated last year
• okokabv / MAPAS
  A Practical Deep Learning-based Android Malware Detection System
  ☆16Updated 2 years ago
• yuxiaorun / MalConv-Adversarial
  Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf
  ☆18Updated 6 years ago
• aditya5558 / Android-Malware-Detection
  Android Malware Detection using Deep Learning
  ☆54Updated 5 years ago
• aup8497 / Android-Malware-Detection
  Android Malware detection using Deep Learning Hybrid Model.
  ☆24Updated 7 years ago