hugom1997 / Malware_Classification

Related projects ⓘ

Alternatives and complementary repositories for Malware_Classification

• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆69Updated last week
• cyberhunters / Malware-Detection-Using-Machine-Learning
  Multi-class malware classification using Deep Learning
  ☆73Updated 4 years ago
• islem-esi / DeepMalwareDetector
  A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
  ☆71Updated last year
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆47Updated 2 years ago
• ocatak / lstm_malware_detection
  ☆30Updated 4 years ago
• avdhoot0303 / Malware-detection-of-PE-files
  This project is Malware detection API using ML and CNN techniques
  ☆21Updated last year
• jaketae / deep-malware-detection
  A neural approach to malware detection in portable executables
  ☆76Updated 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
• bliutech / nlp-pdf-malware-detection
  ECE 188: Computer Security. Repository for "NLP-based Malware Detection on PDFs". Utilizing NLP techniques & transformer models to perfor…
  ☆30Updated last year
• safreita1 / malnet-image
  A large-scale database of malicious software images
  ☆46Updated 3 years ago
• tuff96 / Malware-detection-using-Machine-Learning
  ☆59Updated 2 years ago
• surajr / Machine-Learning-approach-for-Malware-Detection
  A Machine Learning approach for classifying a file as Malicious or Legitimate
  ☆74Updated 8 years ago
• Mayachitra-Inc / MaleX
  A curated dataset of malware and benign Windows executable samples for malware researchers
  ☆39Updated last month
• 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 …
  ☆73Updated 7 months ago
• mpasco / MalbehavD-V1
  Public datasets of malware and benign executable files (Windows EXE files). The dataset can be used by cybersecurity researchers focusing…
  ☆21Updated last year
• manabu-hirano / RanSAP
  RanSAP: An Open Dataset of Ransomware Storage Access Patterns for Training Machine Learning Models
  ☆26Updated 3 months 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
• danielgibert / mlw_classification_hydra
  ☆27Updated 4 years ago
• VISWESWARAN1998 / Malware-Classification-and-Labelling
  Malware Classification and Labelling using Deep Neural Networks
  ☆33Updated 4 years ago
• omfaku / cnn-malware-classification
  Classifying malware families by converting their binaries to images and then applying Convolutional Neural Network solutions.
  ☆13Updated 3 years ago
• bormaa / Benign-NET
  Benign .NET files
  ☆31Updated 2 months ago
• urwithajit9 / ClaMP
  A Malware classifier dataset built with header fields’ values of Portable Executable files
  ☆89Updated last year
• ZaydH / MalwareGAN
  Adversarial Malware Generator Using GANs
  ☆52Updated 3 months ago
• DasariJayanth / Malware-Detection-in-PE-files-using-Machine-Learning
  Detecting Malware in PE files
  ☆20Updated last year
• hija / MalwareDataScience
  Malware Data Science Reading Diary / Notes
  ☆120Updated 5 years ago
• ALFA-group / malware_challenge
  [AdvML@KDD 2019] Robust Malware Detection Challenge
  ☆17Updated 4 years ago
• katerynaCh / Malware-Classification-with-ML
  Bachelor Thesis for XAMK - Machine Learning Methods for Malware Detection and Classification
  ☆11Updated 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…
  ☆229Updated 3 years ago
• securycore / MLRD-Machine-Learning-Ransomware-Detection
  Machine Learning Ransomware Detection
  ☆32Updated 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