Alternatives and similar repositories for Anomaly-Detection-on-NSL-KDD-dataset:

Users that are interested in Anomaly-Detection-on-NSL-KDD-dataset are comparing it to the libraries listed below

• 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
• SubrataMaji / IDS-UNSW-NB15
  Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm
  ☆77Updated 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
• Mamcose / NSL-KDD-Network-Intrusion-Detection
  Machine Learning Algorithms on NSL-KDD dataset
  ☆94Updated 5 years ago
• TGyAlDeen / IDS-UNSW-NB15
  IoT intrusion Detection Model based on neural network and random forests
  ☆44Updated 6 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
• sgamage2 / dl_ids_survey
  Deep learning models for network intrusion detection
  ☆34Updated last year
• 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…
  ☆19Updated 3 years ago
• yliang725 / Anomaly-Detection-IoT23
  A research project of anomaly detection on dataset IoT-23
  ☆95Updated 5 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
• 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…
  ☆101Updated 7 years ago
• abhinav-bhardwaj / Network-Intrusion-Detection-Using-Machine-Learning
  A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
  ☆125Updated 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
• ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks
  ☆42Updated 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
  ☆156Updated 3 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
• 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…
  ☆20Updated 3 years ago
• elifnurkarakoc / CICIDS2017
  CICIDS2017 dataset
  ☆64Updated 3 years ago
• FrazHackz / Network-Intrusion-Detection-System-Deep-Learning
  Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)
  ☆12Updated 4 years ago
• 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
• kahramankostas / Anomaly-Detection-in-Networks-Using-Machine-Learning
  A thesis submitted for the degree of Master of Science in Computer Networks and Security
  ☆207Updated 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…
  ☆40Updated 5 years 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
• perriDplatypus / Anomaly-Detection-KDD99-CNNLSTM
  Intrusion Detection System using Machine Learning and Deep Learning
  ☆85Updated last year
• PradeepThapa / nsl_kdd_classification
  Cyber-attack classification in the network traffic database using NSL-KDD dataset
  ☆25Updated 4 years ago
• clazarom / DeepLearning_IDS
  Deep learning based Intrusion Detection System
  ☆30Updated 4 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…
  ☆66Updated 3 years ago
• zhang-hongpo / SGM-CNN
  Our implementations of the flow-based network intrusion detection model (for the COMNET paper)
  ☆43Updated 4 years ago
• JeevanSandhu / Intrusion-Detection
  Intrusion Detection using various Data Mining Techniques (KDD Cup 1999 Data)
  ☆19Updated 5 years ago
• arif6008 / Intrusion_Detection_Using_CICIDS2017
  Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets
  ☆12Updated 3 years ago