Alternatives and similar repositories for malware-detection-with-deep-learning-autoencoder:

Users that are interested in malware-detection-with-deep-learning-autoencoder are comparing it to the libraries listed below

• 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
• cyberhunters / Malware-Detection-Using-Machine-Learning
  Multi-class malware classification using Deep Learning
  ☆76Updated 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 6 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
• tamimmirza / Intrusion-Detection-System-using-Deep-Learning
  VGG-19 deep learning model trained using ISCX 2012 IDS Dataset
  ☆139Updated 6 years ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆46Updated 2 years ago
• tuff96 / Malware-detection-using-Machine-Learning
  ☆58Updated 2 years ago
• CircleZ3791117 / PEMalDetection
  Malware detection demo using machine learning.
  ☆24Updated 7 years ago
• Belval / ML-IDS
  An IDS implementation using machine learning
  ☆36Updated 7 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…
  ☆240Updated 3 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
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆70Updated 3 months ago
• vinayakumarr / Network-Traffic-Analysis
  SSH traffic analysis
  ☆23Updated 5 years ago
• cstub / ml-ids
  A machine learning based Intrusion Detection System
  ☆134Updated 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…
  ☆74Updated 5 years ago
• marcoramilli / MalwareTrainingSets
  Free Malware Training Datasets for Machine Learning
  ☆230Updated 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 …
  ☆86Updated 5 years ago
• ocatak-zz / malware_api_class
  Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…
  ☆81Updated 4 years ago
• antoinedelplace / Cyberattack-Detection
  Cyber Attack Detection thanks to Machine Learning Algorithms
  ☆101Updated 5 years ago
• NagabhushanS / Machine-Learning-Based-Botnet-Detection
  Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffi…
  ☆67Updated 4 years ago
• mprhode / malware-prediction-rnn
  RNN implementation with Keras for machine activity data to predict malware
  ☆41Updated last year
• ZaydH / MalwareGAN
  Adversarial Malware Generator Using GANs
  ☆52Updated 6 months ago
• aalbalaw / Building-Intrusion-Detection-System
  Building Intrusion Detection System for Network Security Using the KD99 Data Set
  ☆11Updated 8 years ago
• ocatak / lstm_malware_detection
  ☆31Updated 4 years ago
• rubiruchi / Insider-Threat-and-Anomaly-Detection-from-User-Activities
  Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)
  ☆62Updated 5 years ago
• dimtics / Network-Intrusion-Detection-Using-Machine-Learning-Techniques
  Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…
  ☆101Updated 7 years ago
• nrajasin / Network-intrusion-dataset-creator
  ☆69Updated 2 years ago
• harshilpatel1799 / Iot-Cyber-Security-with-Machine-Learning-Research-Project
  IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…
  ☆66Updated 3 years ago
• vvsotnikov / LSTM-IDS
  Network data classifier based on the recurrent neural network.
  ☆22Updated 5 years ago