Alternatives and similar repositories for DeepMalwareDetector:

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

• ocatak / lstm_malware_detection
  ☆31Updated 4 years ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆47Updated 2 years ago
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆71Updated 2 months ago
• avdhoot0303 / Malware-detection-of-PE-files
  This project is Malware detection API using ML and CNN techniques
  ☆23Updated last year
• jaketae / deep-malware-detection
  A neural approach to malware detection in portable executables
  ☆79Updated last year
• cyberhunters / Malware-Detection-Using-Machine-Learning
  Multi-class malware classification using Deep Learning
  ☆75Updated 4 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 …
  ☆75Updated 10 months 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…
  ☆74Updated 5 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…
  ☆238Updated 3 years ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆28Updated 2 years ago
• mpasco / MalbehavD-V1
  Public datasets of malware and benign executable files (Windows EXE files). The dataset can be used by cybersecurity researchers focusing…
  ☆22Updated last year
• cmikke97 / Automatic-Malware-Signature-Generation
  Automatic Malware Signature Generation Tool
  ☆15Updated 3 years ago
• tuff96 / Malware-detection-using-Machine-Learning
  ☆58Updated 2 years ago
• iosifache / DikeDataset
  Dataset with labeled benign and malicious files 🗃️
  ☆107Updated last year
• obarrera / Machine-Learning-Malware-Detection
  Attempt to use the machine learning workflow to process and transform sampled PE file data to create a prediction model.
  ☆40Updated 3 years ago
• CircleZ3791117 / PEMalDetection
  Malware detection demo using machine learning.
  ☆24Updated 6 years ago
• Mayachitra-Inc / MaleX
  A curated dataset of malware and benign Windows executable samples for malware researchers
  ☆41Updated 3 months ago
• DasariJayanth / Malware-Detection-in-PE-files-using-Machine-Learning
  Detecting Malware in PE files
  ☆23Updated last year
• hugom1997 / Malware_Classification
  ☆28Updated 4 years ago
• ZaydH / MalwareGAN
  Adversarial Malware Generator Using GANs
  ☆52Updated 6 months ago
• j40903272 / MalConv-keras
  This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adv…
  ☆83Updated 6 years ago
• Kartikaggarwal98 / Android_MalwareAnalysis
  CNN based android malware detection system
  ☆22Updated 5 years ago
• tamnguyenvan / malnet
  Malware Detection using Convolutional Neural Networks
  ☆13Updated last year
• bormaa / Benign-NET
  Benign .NET files
  ☆30Updated 5 months ago
• ocatak-zz / malware_api_class
  Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…
  ☆81Updated 4 years ago
• czs108 / Microsoft-Malware-Classification
  🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Window…
  ☆23Updated 11 months ago
• tomergill / Malware_Classification_Final_Project
  Yossi Mandil & Tomer Gill's Bachelor Degree Final Project under the BIU Cyber Center - Malware & Benign File Classification using Machin…
  ☆10Updated 6 years ago
• aptresearch / datasets
  ☆21Updated 3 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.
  ☆69Updated 2 years ago
• AFAgarap / malware-classification
  Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
  ☆166Updated last year