Alternatives and similar repositories for IoT-botnet-attack-detection

Users that are interested in IoT-botnet-attack-detection are comparing it to the libraries listed below

• Jumabek / net_intrusion_detection
  Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
  ☆50Updated last year
• Mamcose / NSL-KDD-Network-Intrusion-Detection
  Machine Learning Algorithms on NSL-KDD dataset
  ☆100Updated 6 years ago
• SubrataMaji / IDS-UNSW-NB15
  Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm
  ☆89Updated 5 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 …
  ☆91Updated 6 years ago
• abhinav-bhardwaj / IoT-Network-Intrusion-Detection-System-UNSW-NB15
  Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
  ☆177Updated 4 years ago
• kahramankostas / Anomaly-Detection-in-Networks-Using-Machine-Learning
  A thesis submitted for the degree of Master of Science in Computer Networks and Security
  ☆230Updated 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…
  ☆45Updated 6 years ago
• elifnurkarakoc / CICIDS2017
  CICIDS2017 dataset
  ☆70Updated 3 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…
  ☆102Updated 8 years ago
• alik604 / cyber-security
  Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
  ☆212Updated last year
• 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
• mahendradata / cicids2017-ml
  The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.
  ☆64Updated 5 years ago
• kushalchordiya216 / Network-Anomaly-Detection
  A project using Django, sklearn and pandas to detect anomalies in network traffic using machine learning
  ☆47Updated 3 years ago
• fisher85 / ml-cybersecurity
  Machine Learning in Cybersecurity
  ☆88Updated 5 months ago
• yliang725 / Anomaly-Detection-IoT23
  A research project of anomaly detection on dataset IoT-23
  ☆101Updated last year
• 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
• wilfred-wulbou / Intrusion-Detection-System
  An intrusion detection system (IDS) based on machine learning technique, specifically the anomaly detection algorithm.
  ☆22Updated 5 years ago
• zhang-hongpo / SGM-CNN
  Our implementations of the flow-based network intrusion detection model (for the COMNET paper)
  ☆48Updated 5 years ago
• perriDplatypus / Anomaly-Detection-KDD99-CNNLSTM
  Intrusion Detection System using Machine Learning and Deep Learning
  ☆87Updated last year
• 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.…
  ☆42Updated 7 years ago
• jogecodes / transformerAD
  Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"
  ☆33Updated 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…
  ☆73Updated 4 years ago
• dendyikbc / kdd99-cnn-1
  Intrusion Detection Based on Convolutional Neural Network with kdd99 data set
  ☆56Updated 6 years ago
• lapeyrade / RNN_Intrusion-Detection_Keras
  A Recurrent Neural Networks implementation using Keras for network intrusion detection
  ☆31Updated 4 years 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…
  ☆27Updated 3 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…
  ☆11Updated 4 years 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…
  ☆56Updated 4 years ago
• Yasir-ali-farrukh / Payload-Byte
  Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.
  ☆43Updated last year
• Scorks / GAN_DRL_IDS
  Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks
  ☆48Updated last year
• racsa-lab / Edge-Detect
  Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".
  ☆47Updated 2 years ago