Alternatives and similar repositories for malware-detection

Users that are interested in malware-detection are comparing it to the libraries listed below

• ylhao / malware-detection-based-on-cnn
  基于卷积神经网络的恶意软件检测方法
  ☆54Updated 6 years ago
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆34Updated 10 months ago
• aditya5558 / Android-Malware-Detection
  Android Malware Detection using Deep Learning
  ☆54Updated 6 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 5 years ago
• ALFA-group / robust-adv-malware-detection
  [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…
  ☆109Updated last year
• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆57Updated 2 years ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆31Updated 3 years ago
• jaketae / deep-malware-detection
  A neural approach to malware detection in portable executables
  ☆79Updated 2 years ago
• Saket-Upadhyay / Android-Permission-Extraction-and-Dataset-Creation-with-Python
  One script to create a permission-based dataset of android applications for your next ML Malware Detection gizmo.
  ☆17Updated 2 years ago
• aup8497 / Android-Malware-Detection
  Android Malware detection using Deep Learning Hybrid Model.
  ☆24Updated 7 years ago
• vikram-mm / Android-Malware-Detection
  ☆60Updated 7 years ago
• iosifache / DikeDataset
  Dataset with labeled benign and malicious files 🗃️
  ☆138Updated 2 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…
  ☆35Updated 4 years ago
• ocatak / malware_api_class
  Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…
  ☆247Updated 3 years ago
• CircleZ3791117 / PEMalDetection
  Malware detection demo using machine learning.
  ☆25Updated 7 years ago
• whyisyoung / BODMAS
  Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …
  ☆85Updated last year
• yueyueL / DL-based-Android-Malware-Defenses-review
  Papers, code and datasets about deep learning for Android malware defenses and malware detection
  ☆147Updated last year
• ryderling / adversarial-attacks-and-defenses-for-windows-pe-malware-detection
  A curated resource list of adversarial attacks and defenses for Windows PE malware detection.
  ☆73Updated 3 years ago
• vinayakakv / android-malware-detection
  Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
  ☆39Updated 4 years ago
• cyberhunters / Malware-Detection-Using-Machine-Learning
  Multi-class malware classification using Deep Learning
  ☆77Updated 5 years ago
• ucsb-seclab / Neurlux
  Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
  ☆13Updated 4 years ago
• kericwy1337 / Datacon2019-Malicious-Code-DataSet-Stage1
  ☆26Updated 6 years ago
• bitsecurerlab / MAB-malware
  MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…
  ☆15Updated 3 years ago
• Bowen-n / MCBG
  Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)
  ☆22Updated 3 years ago
• vinayakumarr / Android-Malware-Detection
  Android malware detection using static and dynamic analysis
  ☆39Updated 6 years ago
• MHunt-er / Benchmarking-Malware-Family-Classification
  ☆16Updated 4 years ago
• friendllcc / DMalNet
  ☆20Updated 3 years ago
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆70Updated last week
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆74Updated 11 months ago
• PowerLZY / MalConv-Pytorch
  基于深度学习的恶意软件检测研究；MalConv;
  ☆108Updated 3 years ago