Alternatives and similar repositories for AI-IDS-IoT:

Users that are interested in AI-IDS-IoT are comparing it to the libraries listed below

• polvalls9 / Transfer-Learning-Based-Intrusion-Detection-in-5G-and-IoT-Networks
  Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…
  ☆13Updated 2 years ago
• shahanHasan / Intrusion-Detection-System-Adversarial-Attacks-
  Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…
  ☆18Updated 3 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
  ☆20Updated 2 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…
  ☆39Updated 5 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
• yliang725 / Anomaly-Detection-IoT23
  A research project of anomaly detection on dataset IoT-23
  ☆94Updated 4 months ago
• MosabHamdan12 / nomaly-based-Intrusion-Detection-Technique-for-IoT-Enabled-Smart-Cities
  This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…
  ☆13Updated 2 years ago
• SubrataMaji / IDS-UNSW-NB15
  Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm
  ☆75Updated 4 years ago
• sgamage2 / dl_ids_survey
  Deep learning models for network intrusion detection
  ☆33Updated last year
• PradeepThapa / nsl_kdd_classification
  Cyber-attack classification in the network traffic database using NSL-KDD dataset
  ☆24Updated 4 years ago
• mahendradata / cicids2017-ml
  The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.
  ☆59Updated 4 years ago
• racsa-lab / Edge-Detect
  Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".
  ☆44Updated last year
• Western-OC2-Lab / Intrusion-Detection-System-Using-CNN-and-Transfer-Learning
  Code for intrusion detection system (IDS) development using CNN models and transfer learning
  ☆149Updated last year
• elifnurkarakoc / CICIDS2017
  CICIDS2017 dataset
  ☆60Updated 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…
  ☆43Updated 2 years ago
• r7sy / IntrusionDetection
  This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…
  ☆32Updated 5 years ago
• AhsanAyub / adversarial_ml_ids
  Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).
  ☆23Updated 4 years ago
• mandersch / RTIDS
  Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al
  ☆21Updated 4 months ago
• robsss / Iot-Cyber-Security-with-Machine-Learning
  IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…
  ☆25Updated 2 years ago
• husseinalygit / N-BaIoT-reloaded
  This is a code reproduction for the paper titled "N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders"
  ☆10Updated 3 years ago
• srtk88 / Machine-learning-algorithms-for-detecting-network-attacks-with-UNSW-NB15-data-set
  Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …
  ☆30Updated 6 years ago
• dwday / deep_learn_ids
  Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow
  ☆21Updated last year
• AnushManglani / Anomaly-based-Intrusion-Detection-System
  Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.
  ☆31Updated 4 years ago
• othmbela / dbn-based-nids
  An Intrusion Detection System based on Deep Belief Networks
  ☆77Updated 2 years ago
• jogecodes / transformerAD
  Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"
  ☆31Updated last year
• 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…
  ☆100Updated 7 years ago
• Scorks / GAN_DRL_IDS
  Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks
  ☆43Updated 4 months ago
• iZRJ / Federated-Learning-Based-Intrusion-Detection-System
  FL-based intrusion detection system development using model averaging.
  ☆35Updated 2 years ago
• Aditya-1500 / Bot-IoT
  The project aims to analyse different types of attacks using the Bot-IoT dataset and also apply & compare different classification algori…
  ☆12Updated 3 years ago
• qaixerabbas / network_intrusion_detection
  Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…
  ☆15Updated last year