srtk88 / Machine-learning-algorithms-for-detecting-network-attacks-with-UNSW-NB15-data-setView on GitHub
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…
☆30Oct 30, 2018Updated 7 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆27Sep 1, 2022Updated 3 years ago
- Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…☆27Jul 29, 2021Updated 4 years ago
- The growing network connectivity witnessed in Supervisory Control and Data Acquisition (SCADA) systems raises cyber security concerns for…☆19Jan 19, 2018Updated 8 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆39May 5, 2017Updated 8 years ago
- deep learning applied to Network Intrusion Detection with NSL-KDD data☆16Feb 3, 2018Updated 8 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web …☆21Apr 29, 2024Updated last year
- This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-at…☆38Sep 11, 2020Updated 5 years ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆52Aug 10, 2020Updated 5 years ago
- Basic Machine learning projects and assignments done by me.☆34Aug 12, 2020Updated 5 years ago
- Adversarial machine learning and explainable machine learning for cyber security☆13Jun 21, 2022Updated 3 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.…☆40Sep 27, 2018Updated 7 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆76Oct 20, 2020Updated 5 years ago
- Implementation of the ACL Findings paper "OutFlip: Generating Examples for Unknown Intent Detection with Natural Language Attack"☆10May 24, 2021Updated 4 years ago
- Machine Learning and Deep Learning models for Anomaly Detection☆10Mar 10, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Advanced detection of port scanning, DoS and malware attacks using Machine Learning techniques☆14May 18, 2023Updated 2 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆97May 30, 2019Updated 6 years ago
- Use machine learning to classify malware. Malware analysis 101. Set up a cybersecurity lab environment. Learn how to tackle data class im…☆17Jul 15, 2020Updated 5 years ago
- the open source way to do the excercises to be a Full-Stack Cybersecurity Engineer. added with the recent paper in the field of Machine …☆50Nov 2, 2021Updated 4 years ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆225Apr 25, 2024Updated last year
- CICIDS2017 dataset☆70Jan 4, 2022Updated 4 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆90Jan 24, 2018Updated 8 years ago
- The comparison of the performance of different machine learning methods for computer security problems☆10May 19, 2024Updated last year
- Training and testing of linguistic passwords models.☆27Aug 20, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆94Oct 18, 2019Updated 6 years ago
- As society and technology develop, more and more of our time is spent online, from shopping to socialising, working to banking. Ensuring …☆10Oct 8, 2022Updated 3 years ago
- In this repository, DDOS attacks were detected using Recurrent Neural Networks (LSTM) and Classical Machine Learning Algorithms.☆19Jun 28, 2021Updated 4 years ago
- a python tool used to scan for Open redirection vulnerability☆20Dec 29, 2017Updated 8 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN w…☆53Aug 10, 2023Updated 2 years ago
- DNP3 Cyber-attack datasets☆16Mar 9, 2017Updated 9 years ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆25Dec 20, 2020Updated 5 years ago
- wifiDOS with scapy☆16May 4, 2016Updated 9 years ago
- Detecting Abnormal Connections of a Network-Flow (KDD-cup 99)☆13Jul 18, 2018Updated 7 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased …☆52May 21, 2019Updated 6 years ago
- A novel approach to pose selection in protein-ligand docking based on graph theory.☆20Nov 22, 2016Updated 9 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆91Sep 19, 2020Updated 5 years ago
- This is a code reproduction for the paper titled "N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders"☆13Apr 22, 2021Updated 4 years ago
- implement IDS using deep learning☆12May 24, 2019Updated 6 years ago
- Machine learning on knowledge graphs for context-aware security monitoring (data and model)☆18Mar 11, 2022Updated 4 years ago
- p2p chat application implemented in Python☆11Jan 25, 2020Updated 6 years ago