Alternatives and similar repositories for Anomaly-Detection-IoT23

Users that are interested in Anomaly-Detection-IoT23 are comparing it to the libraries listed below

• Iretha / IoT23-network-traffic-anomalies-classification
  AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
  ☆74Updated 3 years ago
• racsa-lab / Edge-Detect
  Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".
  ☆46Updated last year
• ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks
  ☆42Updated 4 years ago
• Scorks / GAN_DRL_IDS
  Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks
  ☆44Updated 8 months ago
• sgamage2 / dl_ids_survey
  Deep learning models for network intrusion detection
  ☆36Updated 2 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 6 years ago
• Abhijeet1990 / DL_based_IDS
  This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and H…
  ☆23Updated last year
• jogecodes / transformerAD
  Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"
  ☆33Updated 2 years ago
• PradeepThapa / nsl_kdd_classification
  Cyber-attack classification in the network traffic database using NSL-KDD dataset
  ☆26Updated 4 years ago
• mahendradata / cicids2017-ml
  The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.
  ☆63Updated 4 years ago
• elifnurkarakoc / CICIDS2017
  CICIDS2017 dataset
  ☆69Updated 3 years ago
• TGyAlDeen / IDS-UNSW-NB15
  IoT intrusion Detection Model based on neural network and random forests
  ☆45Updated 6 years ago
• kahramankostas / IoTGeM
  IoT Attack Detection with machine learning
  ☆27Updated 11 months ago
• mandersch / RTIDS
  Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al
  ☆22Updated 8 months ago
• AnushManglani / Anomaly-based-Intrusion-Detection-System
  Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.
  ☆35Updated 4 years ago
• Gci04 / GANs_for_Network_Intrusion_Data
  Generative adversarial networks for Network Intrusion Benchmark datasets
  ☆35Updated 10 months ago
• munhouiani / LuNet
  Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection
  ☆52Updated 5 years ago
• Jumabek / net_intrusion_detection
  Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
  ☆46Updated 11 months ago
• harshilpatel1799 / IoT-Network-Intrusion-Detection-and-Classification-using-Explainable-XAI-Machine-Learning
  The continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection sys…
  ☆50Updated 4 years ago
• othmbela / dbn-based-nids
  An Intrusion Detection System based on Deep Belief Networks
  ☆83Updated 2 years ago
• AbertayMachineLearningGroup / MQTT_ML
  ☆33Updated 3 years ago
• r7sy / IntrusionDetection
  This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…
  ☆32Updated 6 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…
  ☆47Updated 3 years ago
• brett-gt / IntrusionDetectionSystem
  Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.
  ☆33Updated 4 years ago
• FrazHackz / Network-Intrusion-Detection-System-Deep-Learning
  Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)
  ☆12Updated 4 years ago
• SubrataMaji / IDS-UNSW-NB15
  Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm
  ☆85Updated 4 years ago
• VamsiUdaykumar / IoT-Intrusion-Detection-System
  Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…
  ☆43Updated 6 years ago
• nuttysunday / Protocol-Based-Deep-Intrusion-Detection-for-DoS-Normal-and-DDoS-Attacks
  Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets
  ☆21Updated 3 years ago
• FlamingJay / Time-related-Intrusion-Detection-Model-based-on-Recurrent-Neural-Network
  Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.
  ☆70Updated 4 years ago
• irijije / DeepLearningIDS
  A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.
  ☆12Updated 5 years ago