Alternatives and similar repositories for hybrid-malicious-code-detection-using-deep-learning

Users that are interested in hybrid-malicious-code-detection-using-deep-learning are comparing it to the libraries listed below

• 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…
  ☆110Updated last year
• vikram-mm / Android-Malware-Detection
  ☆59Updated 7 years ago
• Kartikaggarwal98 / Android_MalwareAnalysis
  CNN based android malware detection system
  ☆22Updated 6 years ago
• aup8497 / Android-Malware-Detection
  Android Malware detection using Deep Learning Hybrid Model.
  ☆24Updated 7 years ago
• BiancaGuo / malware_classification_system
  本科毕业设计_恶意代码检测分类平台
  ☆41Updated 6 years ago
• cyberhunters / Malware-Detection-Using-Machine-Learning
  Multi-class malware classification using Deep Learning
  ☆76Updated 5 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 6 years ago
• ylhao / malware-detection-based-on-cnn
  基于卷积神经网络的恶意软件检测方法
  ☆58Updated 6 years ago
• sachith500 / Sherlock
  This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.
  ☆28Updated last year
• 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 6 years ago
• liuguangrui-hit / VulnerGAN-py
  A backdoor attack by vulnerability amplification on online machine learning-based network intrusion detection system
  ☆22Updated 4 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
• vinayakumarr / Android-Malware-Detection
  Android malware detection using static and dynamic analysis
  ☆39Updated 6 years ago
• irijije / DeepLearningIDS
  A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.
  ☆13Updated 5 years ago
• aditya5558 / Android-Malware-Detection
  Android Malware Detection using Deep Learning
  ☆53Updated 6 years ago
• flame0409 / Android-Malware-Detection
  使用安卓Opcode字节码的N-gram序列特征进行恶意软件检测的完全步骤，使用算法RF，KNN
  ☆18Updated 5 years ago
• munirKarsli / Network-Intrusion-Detection-With-Deep-Learning-On-Nsl-Kdd-Dataset
  ☆23Updated 6 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
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆34Updated last year
• xyyx62 / GAN-IDS
  Distributed intelligent malicious traffic detection system based on GAN
  ☆18Updated 5 years ago
• Colorado-Mesa-University-Cybersecurity / DeepLearning-IDS
  Network Intrusion Detection System using Deep Learning Techniques
  ☆170Updated 6 years ago
• Moskari / ITKST42-network-data-classifier
  A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".
  ☆38Updated 8 years ago
• Scorks / GAN_DRL_IDS
  Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks
  ☆49Updated last year
• 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…
  ☆36Updated 4 years ago
• yuxiaorun / MalConv-Adversarial
  Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf
  ☆19Updated 7 years ago
• Forcrush / Efficient-GAN-based-method-for-cyber-intrusion
  A GAN-based model focused on anomaly detection in discrete dataset
  ☆26Updated 6 years ago
• whyisyoung / CADE
  Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
  ☆145Updated 2 years ago
• namaemonaishi / Encrypted-Malicious-Traffic-Detection-System-Using-Machine-Learning
  使用机器学习的恶意加密流量识别系统
  ☆49Updated 2 years ago
• jaketae / deep-malware-detection
  A neural approach to malware detection in portable executables
  ☆79Updated 2 years ago