Alternatives and similar repositories for malware_detect2:

Users that are interested in malware_detect2 are comparing it to the libraries listed below

• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆46Updated 3 years ago
• ocatak / lstm_malware_detection
  ☆31Updated 4 years ago
• jaketae / deep-malware-detection
  A neural approach to malware detection in portable executables
  ☆78Updated 2 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 …
  ☆77Updated 11 months 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.
  ☆70Updated 2 years ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆29Updated 2 years ago
• czs108 / Microsoft-Malware-Classification
  🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Window…
  ☆25Updated last year
• rickyxume / MalwareViT
  Training Vision Transformers from Scratch for Malware Classification
  ☆28Updated 3 years ago
• ALFA-group / malware_challenge
  [AdvML@KDD 2019] Robust Malware Detection Challenge
  ☆17Updated 5 years ago
• danielgibert / mlw_classification_hydra
  ☆28Updated 4 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
• weisong-ucr / 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…
  ☆44Updated 2 years ago
• xvshiting / MFC-CNN
  A malware family classification model based on CNN
  ☆24Updated 2 years ago
• islem-esi / DeepMalwareDetector
  A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
  ☆73Updated last year
• 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
• iosifache / DikeDataset
  Dataset with labeled benign and malicious files 🗃️
  ☆111Updated last year
• cyberhunters / Malware-Detection-Using-Machine-Learning
  Multi-class malware classification using Deep Learning
  ☆77Updated 4 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…
  ☆106Updated 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…
  ☆22Updated last year
• ZaydH / MalwareGAN
  Adversarial Malware Generator Using GANs
  ☆52Updated 7 months 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…
  ☆241Updated 3 years ago
• khas-ccip / api_sequences_malware_datasets
  ☆22Updated 3 years ago
• AFAgarap / malware-classification
  Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
  ☆169Updated last year
• endgameinc / malware_evasion_competition
  ☆77Updated 5 years ago
• CircleZ3791117 / PEMalDetection
  Malware detection demo using machine learning.
  ☆25Updated 7 years ago
• yuxiaorun / MalConv-Adversarial
  Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf
  ☆18Updated 6 years ago
• safreita1 / malnet-image
  A large-scale database of malicious software images
  ☆47Updated 3 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
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆62Updated 4 years ago
• 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