Alternatives and similar repositories for Network-Anomaly-Detection:

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

• 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
• kaiyoo / ML-Anomaly-Detection
  Detection of network traffic anomalies using unsupervised machine learning
  ☆25Updated 3 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 5 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…
  ☆25Updated 2 years ago
• Jumabek / net_intrusion_detection
  Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
  ☆45Updated 10 months ago
• GrannyProgramming / Intrusion-Detection-using-Deep-Learning-and-Machine-Learning
  Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…
  ☆22Updated 3 years ago
• somesh636 / DDoS_CyberThreat_Detection_AI_ML_Algorithms
  DDoS attack analysis using Machine Learning
  ☆41Updated 4 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 7 years ago
• Shaik-Sohail-72 / Network-Intrusion-Detection-Using-Deep-Learning
  Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN w…
  ☆41Updated last year
• perriDplatypus / Anomaly-Detection-KDD99-CNNLSTM
  Intrusion Detection System using Machine Learning and Deep Learning
  ☆87Updated last year
• munirKarsli / Network-Intrusion-Detection-With-Deep-Learning-On-Nsl-Kdd-Dataset
  ☆24Updated 5 years ago
• Mamcose / NSL-KDD-Network-Intrusion-Detection
  Machine Learning Algorithms on NSL-KDD dataset
  ☆97Updated 5 years ago
• samarth0174 / Intrusion-Detection-Deep-Learning
  Developed an Anomaly-based intrusion detection system using Multi Level Perceptron
  ☆20Updated 4 years ago
• wilfred-wulbou / Intrusion-Detection-System
  An intrusion detection system (IDS) based on machine learning technique, specifically the anomaly detection algorithm.
  ☆21Updated 4 years ago
• elifnurkarakoc / CICIDS2017
  CICIDS2017 dataset
  ☆69Updated 3 years ago
• abhinav-bhardwaj / Network-Intrusion-Detection-Using-Machine-Learning
  A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
  ☆132Updated 3 years ago
• sylvainlapeyrade / RNN_Intrusion-Detection_Keras
  A Recurrent Neural Networks implementation using Keras for network intrusion detection
  ☆31Updated 3 years ago
• irijije / DeepLearningIDS
  A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.
  ☆12Updated 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 …
  ☆88Updated 5 years ago
• jeremy191 / clustering-based-anomaly-detection
  This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets
  ☆55Updated 5 years ago
• PradeepThapa / nsl_kdd_classification
  Cyber-attack classification in the network traffic database using NSL-KDD dataset
  ☆26Updated 4 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…
  ☆46Updated 2 years ago
• dwday / deep_learn_ids
  Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow
  ☆22Updated last year
• kahramankostas / Anomaly-Detection-in-Networks-Using-Machine-Learning
  A thesis submitted for the degree of Master of Science in Computer Networks and Security
  ☆217Updated 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…
  ☆20Updated 3 years ago
• irahulgulati / SYN-Flood-DDoS-Detection
  Python Script that sniffs network traffic on a Apache server and use anomaly detection methods to detect DDoS attack.
  ☆8Updated 5 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.…
  ☆40Updated 6 years ago
• vvsotnikov / LSTM-IDS
  Network data classifier based on the recurrent neural network.
  ☆22Updated 6 years ago
• Iretha / IoT23-network-traffic-anomalies-classification
  AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
  ☆71Updated 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…
  ☆67Updated 4 years ago