Alternatives and similar repositories for Malware-classification-paper-implementation-using-Convolutional-Neural-Network

Users that are interested in Malware-classification-paper-implementation-using-Convolutional-Neural-Network are comparing it to the libraries listed below

• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆58Updated 2 years ago
• rahulvigneswaran / Intrusion-Detection-Systems
  This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…
  ☆291Updated 2 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
• QMIND-Team / Cyber_Security
  Generative Adversarial Network to generate malware to evade detection
  ☆15Updated 2 years ago
• AhsanAyub / adversarial_ml_ids
  Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).
  ☆26Updated 5 years ago
• akafengfeng / AI-Security
  This is a paper list about Machine Learning for IDSes
  ☆91Updated 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
• vinayakakv / android-malware-detection
  Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
  ☆40Updated 4 years ago
• vinayakumarr / Android-Malware-Detection
  Android malware detection using static and dynamic analysis
  ☆39Updated 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
  ☆59Updated 6 years ago
• whyisyoung / CADE
  Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
  ☆144Updated 2 years ago
• clazarom / DeepLearning_IDS
  Deep learning based Intrusion Detection System
  ☆34Updated 5 years ago
• ymirsky / Kitsune-py
  A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)
  ☆367Updated 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…
  ☆38Updated 4 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 7 years ago
• cyberhunters / Malware-Detection-Using-Machine-Learning
  Multi-class malware classification using Deep Learning
  ☆77Updated 5 years ago
• CynthiaKoopman / Network-Intrusion-Detection
  Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
  ☆272Updated 5 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…
  ☆111Updated last year
• aditya5558 / Android-Malware-Detection
  Android Malware Detection using Deep Learning
  ☆53Updated 6 years ago
• Colorado-Mesa-University-Cybersecurity / DeepLearning-IDS
  Network Intrusion Detection System using Deep Learning Techniques
  ☆172Updated 6 years ago
• abhinav-bhardwaj / Network-Intrusion-Detection-Using-Machine-Learning
  A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
  ☆147Updated 4 years ago
• ggulgun / NIDS-Intrusion-Detection
  Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …
  ☆93Updated 6 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…
  ☆257Updated 4 years ago
• Thijsvanede / DeepCASE
  Original implementation and resources of DeepCASE as in the S&P '22 paper
  ☆98Updated 2 years ago
• mahendradata / cicids2017-ml
  The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.
  ☆66Updated 5 years ago
• AnushaUpadhyaya / Intrusion-Detection-System
  I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…
  ☆41Updated 7 years ago
• elifnurkarakoc / CICIDS2017
  CICIDS2017 dataset
  ☆70Updated 4 years ago
• demonCoder95 / ML-based-IDS-CICIDS2017
  This is a simple DNN based application for an IDS based on the CICIDS2017 dataset
  ☆38Updated 5 years ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆46Updated 3 years ago
• ahlashkari / ISCXFlowMeter
  ISCXFlowMeter is an Ethernet traffic flow generator and analyzer for anomaly detection which has been used in different network security …
  ☆76Updated 2 years ago