Alternatives and similar repositories for CML_AMP_Anomaly_Detection

Users that are interested in CML_AMP_Anomaly_Detection are comparing it to the libraries listed below

• marzekan / EC-GAN_NIDS
  Application of novel EC-GAN method on Network Intrusion Detection
  ☆21Updated 3 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
• MERYX-bh / Network-intrusion-detection
  GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd
  ☆18Updated 2 years ago
• TGyAlDeen / IDS-UNSW-NB15
  IoT intrusion Detection Model based on neural network and random forests
  ☆45Updated 6 years ago
• Forcrush / Efficient-GAN-based-method-for-cyber-intrusion
  A GAN-based model focused on anomaly detection in discrete dataset
  ☆26Updated 5 years ago
• jogecodes / transformerAD
  Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"
  ☆33Updated 2 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
• Gci04 / GANs_for_Network_Intrusion_Data
  Generative adversarial networks for Network Intrusion Benchmark datasets
  ☆35Updated 10 months ago
• kushalchordiya216 / Network-Anomaly-Detection
  A project using Django, sklearn and pandas to detect anomalies in network traffic using machine learning
  ☆44Updated 2 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.
  ☆38Updated 10 months 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
• benradford / replication_arxiv_1803_10769
  Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks
  ☆22Updated 6 years ago
• sailorlee97 / FlowGANAnomaly
  This project is an open-source project based on a GAN network anomaly detection.
  ☆13Updated 10 months ago
• PradeepThapa / nsl_kdd_classification
  Cyber-attack classification in the network traffic database using NSL-KDD dataset
  ☆26Updated 4 years ago
• elifnurkarakoc / CICIDS2017
  CICIDS2017 dataset
  ☆69Updated 3 years ago
• kaiyoo / ML-Anomaly-Detection
  Detection of network traffic anomalies using unsupervised machine learning
  ☆26Updated 3 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…
  ☆21Updated 3 years ago
• perriDplatypus / Anomaly-Detection-KDD99-CNNLSTM
  Intrusion Detection System using Machine Learning and Deep Learning
  ☆87Updated 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
• SubrataMaji / IDS-UNSW-NB15
  Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm
  ☆85Updated 4 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
  ☆173Updated 3 years ago
• shahidlatif126 / DTL-IDS-An-Optimized-Intrusion-Detection-Framework-using-DTL-and-GA
  This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …
  ☆16Updated last year
• 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
• sylvainlapeyrade / RNN_Intrusion-Detection_Keras
  A Recurrent Neural Networks implementation using Keras for network intrusion detection
  ☆30Updated 3 years ago
• Deepthi10 / Intrusion-Detection-using-Machine-Learning-on-NSL--KDD-dataset
  Pre-processing NSL-KDD dataset using Data mining techniques. Algorithm written in python to detect the attacks in NSL KDD dataset.
  ☆26Updated 5 years ago
• Moskari / ITKST42-network-data-classifier
  A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".
  ☆38Updated 8 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
  ☆46Updated 11 months ago
• Stream-AD / MStream
  Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
  ☆121Updated 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 6 years ago