Alternatives and similar repositories for Malware-Detection-using-Deep-Learning:

Users that are interested in Malware-Detection-using-Deep-Learning are comparing it to the libraries listed below

• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆47Updated 2 years ago
• jaketae / deep-malware-detection
  A neural approach to malware detection in portable executables
  ☆79Updated last year
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆71Updated 3 months ago
• tuff96 / Malware-detection-using-Machine-Learning
  ☆58Updated 2 years ago
• CircleZ3791117 / PEMalDetection
  Malware detection demo using machine learning.
  ☆24Updated 7 years ago
• danielgibert / mlw_classification_hydra
  ☆27Updated 4 years ago
• ocatak / lstm_malware_detection
  ☆31Updated 4 years ago
• islem-esi / DeepMalwareDetector
  A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
  ☆73Updated last year
• ocatak / malware_api_class
  Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…
  ☆239Updated 3 years ago
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆29Updated 2 months ago
• cyberhunters / Malware-Detection-Using-Machine-Learning
  Multi-class malware classification using Deep Learning
  ☆76Updated 4 years ago
• AFAgarap / malware-classification
  Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
  ☆167Updated last year
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆28Updated 2 years ago
• tamnguyenvan / malnet
  Malware Detection using Convolutional Neural Networks
  ☆13Updated last year
• danielgibert / mlw_classification_cnn_img
  ☆26Updated 5 years ago
• siddhanthp27 / Malware_Detection_Using_Deep_Learning
  An approach to detect Malware Files using Deep Learning
  ☆5Updated 5 years ago
• surajr / Machine-Learning-approach-for-Malware-Detection
  A Machine Learning approach for classifying a file as Malicious or Legitimate
  ☆75Updated 8 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
• 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 …
  ☆76Updated 10 months ago
• fabriciojoc / brazilian-malware-dataset
  Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.
  ☆19Updated 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…
  ☆105Updated 6 months ago
• avdhoot0303 / Malware-detection-of-PE-files
  This project is Malware detection API using ML and CNN techniques
  ☆23Updated last year
• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆55Updated last year
• khas-ccip / api_sequences_malware_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
• SayHiRay / malware-detection
  Malware detection using CNN
  ☆12Updated 6 years ago
• Kartikaggarwal98 / Android_MalwareAnalysis
  CNN based android malware detection system
  ☆22Updated 5 years 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
• aditya5558 / Android-Malware-Detection
  Android Malware Detection using Deep Learning
  ☆51Updated 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…
  ☆31Updated 3 years ago