srtk88 / Machine-learning-algorithms-for-detecting-network-attacks-with-UNSW-NB15-data-setLinks
Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different fields around the world. Many studies and researches about cyber-security are carried out by experts in order to construct a safe network environment for people. The aim of the work is to build the detection mo…
☆30Updated 6 years ago
Alternatives and similar repositories for Machine-learning-algorithms-for-detecting-network-attacks-with-UNSW-NB15-data-set
Users that are interested in Machine-learning-algorithms-for-detecting-network-attacks-with-UNSW-NB15-data-set are comparing it to the libraries listed below
Sorting:
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆90Updated 5 years ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆286Updated last year
- Machine Learning Algorithms on NSL-KDD dataset☆100Updated 6 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆102Updated 7 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.…☆42Updated 6 years ago
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆266Updated 5 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 4 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆177Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated last year
- IoT intrusion Detection Model based on neural network and random forests☆46Updated 6 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆138Updated 3 years ago
- ☆24Updated 6 years ago
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆27Updated 3 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆162Updated 5 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆38Updated 8 years ago
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆227Updated 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…☆45Updated 6 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆88Updated 4 years ago
- Deep learning models for network intrusion detection☆39Updated 2 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆126Updated 5 years ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆210Updated last year
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 5 years ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Updated 6 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆49Updated last year
- In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concret…☆70Updated 2 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN w…☆44Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆73Updated 4 years ago