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

• hafeezali / Malware-Classification
  Implementation of the paper "Deep Android Malware Detection" as part of the course project for the course Information Assurance & Securit…
  ☆9Updated 7 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…
  ☆74Updated 5 years ago
• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆57Updated 2 years ago
• vinayakumarr / Android-Malware-Detection
  Android malware detection using static and dynamic analysis
  ☆39Updated 6 years ago
• vikram-mm / Android-Malware-Detection
  ☆61Updated 7 years ago
• aditya5558 / Android-Malware-Detection
  Android Malware Detection using Deep Learning
  ☆54Updated 5 years ago
• yanminglai / Malware-GAN
  Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
  ☆126Updated 6 years ago
• danielgibert / mlw_classification_cnn_img
  ☆26Updated 6 years ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆46Updated 3 years ago
• danielgibert / mlw_classification_hydra
  ☆28Updated 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 11 months ago
• AFAgarap / malware-classification
  Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
  ☆172Updated 2 years ago
• deqangss / aics2019_challenge_adv_mal_defense
  Codes for AICS'2019 challenge problem
  ☆22Updated 5 years ago
• MSG-Xtra / Deep_learning_for_android_malware_detection
  Effectiveness of additional training of an ANN based model in detectining android malware
  ☆16Updated 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…
  ☆35Updated 3 years ago
• aup8497 / Android-Malware-Detection
  Android Malware detection using Deep Learning Hybrid Model.
  ☆24Updated 7 years ago
• sachith500 / Sherlock
  This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.
  ☆26Updated last year
• QMIND-Team / Cyber_Security
  Generative Adversarial Network to generate malware to evade detection
  ☆16Updated 2 years ago
• Kartikaggarwal98 / Android_MalwareAnalysis
  CNN based android malware detection system
  ☆22Updated 5 years ago
• whyisyoung / CADE
  Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
  ☆139Updated 2 years ago
• yuxiaorun / MalConv-Adversarial
  Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf
  ☆18Updated 7 years ago
• ocatak / lstm_malware_detection
  ☆32Updated 4 years ago
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆73Updated 8 months ago
• sammy4321 / Android-Malware-Detection-Using-Deep-Learning
  ☆14Updated 7 years ago
• manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRU
  An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach
  ☆33Updated 7 years ago
• elsheikh21 / malware-analysis
  using Drebin dataset to distinguish between malwares and not malwares
  ☆13Updated 6 years ago
• cyberhunters / Malware-Detection-Using-Machine-Learning
  Multi-class malware classification using Deep Learning
  ☆78Updated 4 years ago
• sbshah97 / hybrid-malicious-code-detection-using-deep-learning
  Hybrid Malicious Code Detection using Deep Learning with Keras and Scikit Learn
  ☆11Updated 7 years ago
• deqangss / malware-uncertainty
  deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware
  ☆16Updated 3 years ago
• tamerthamoqa / cic-ids-2018-intrusion-detection-classification
  Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the…
  ☆46Updated 3 years ago