Alternatives and similar repositories for Anomaly-Detection-in-Networks-Using-Machine-Learning

Users that are interested in Anomaly-Detection-in-Networks-Using-Machine-Learning are comparing it to the libraries listed below

• fisher85 / ml-cybersecurity
  Machine Learning in Cybersecurity
  ☆88Updated 6 months ago
• abhinav-bhardwaj / Network-Intrusion-Detection-Using-Machine-Learning
  A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
  ☆145Updated 4 years ago
• kushalchordiya216 / Network-Anomaly-Detection
  A project using Django, sklearn and pandas to detect anomalies in network traffic using machine learning
  ☆46Updated 3 years ago
• SubrataMaji / IDS-UNSW-NB15
  Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm
  ☆90Updated 5 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
  ☆184Updated 4 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…
  ☆290Updated last year
• alik604 / cyber-security
  Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
  ☆214Updated 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…
  ☆102Updated 8 years ago
• Mamcose / NSL-KDD-Network-Intrusion-Detection
  Machine Learning Algorithms on NSL-KDD dataset
  ☆99Updated 6 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
• Colorado-Mesa-University-Cybersecurity / DeepLearning-IDS
  Network Intrusion Detection System using Deep Learning Techniques
  ☆167Updated 5 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 7 years ago
• perriDplatypus / Anomaly-Detection-KDD99-CNNLSTM
  Intrusion Detection System using Machine Learning and Deep Learning
  ☆89Updated last year
• mahendradata / cicids2017-ml
  The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.
  ☆65Updated 5 years ago
• cstub / ml-ids
  A machine learning based Intrusion Detection System
  ☆156Updated 5 years ago
• TGyAlDeen / IDS-UNSW-NB15
  IoT intrusion Detection Model based on neural network and random forests
  ☆48Updated 7 years ago
• ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks
  ☆43Updated 4 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
• George9822 / CICIDS_2017and2018_IntrusionDetectionSystem
  This project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After t…
  ☆13Updated 3 years ago
• sgamage2 / dl_ids_survey
  Deep learning models for network intrusion detection
  ☆39Updated 2 years ago
• CynthiaKoopman / Network-Intrusion-Detection
  Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
  ☆270Updated 5 years ago
• yliang725 / Anomaly-Detection-IoT23
  A research project of anomaly detection on dataset IoT-23
  ☆105Updated 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
• Western-OC2-Lab / Intrusion-Detection-System-Using-CNN-and-Transfer-Learning
  Code for intrusion detection system (IDS) development using CNN models and transfer learning
  ☆196Updated 2 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.…
  ☆42Updated 7 years ago
• Jumabek / net_intrusion_detection
  Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
  ☆50Updated last year
• PradeepThapa / nsl_kdd_classification
  Cyber-attack classification in the network traffic database using NSL-KDD dataset
  ☆27Updated 5 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…
  ☆49Updated 3 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
• Iretha / IoT23-network-traffic-anomalies-classification
  AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
  ☆90Updated 4 years ago