Saurabh2805 / kdd_cup_99
Building an Intrusion detection system using KDD Cup 99 Dataset
☆12Updated 4 years ago
Alternatives and similar repositories for kdd_cup_99:
Users that are interested in kdd_cup_99 are comparing it to the libraries listed below
- Using NSL_KDD data☆26Updated 5 years ago
- 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.…☆39Updated 6 years ago
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Fl…☆13Updated 9 months ago
- ☆22Updated 5 years ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆19Updated 4 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆19Updated 3 years ago
- Code Snippet used to convert CSV dataset into Images in IEEE Published Article: IoT DoS and DDoS Attack Detection using ResNet☆12Updated 3 years ago
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Te…☆15Updated 2 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 years ago
- SPPNet: An Appoach For Real-Time Encrypted Traffic Classification Using Deep Learning☆10Updated 6 months ago
- 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
- Application of novel EC-GAN method on Network Intrusion Detection☆18Updated 3 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆20Updated 2 years ago
- 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
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆37Updated 7 years ago
- CICIDS2017 dataset☆64Updated 3 years ago
- Generate synthetic network attack packet flows using generative adversarial networks.☆27Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆45Updated last year
- An intrusion detection system (IDS) based on machine learning technique, specifically the anomaly detection algorithm.☆20Updated 4 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆43Updated 8 months ago
- Intrusion Detection System using Machine Learning and Deep Learning☆85Updated last year
- 🛜→🖼️ Replication of the model set forth in "FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition" by Tal …☆13Updated 4 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆25Updated 4 years ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Updated 6 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆34Updated 6 months ago
- Basic Machine learning projects and assignments done by me.☆31Updated 4 years ago
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆33Updated 7 months ago