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:
- 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 9 years ago
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆80Apr 3, 2021Updated 5 years ago
- IoT intrusion Detection Model based on neural network and random forests☆50Oct 16, 2018Updated 7 years ago
- clean data ,feature selection , svm based kdd99☆27Oct 18, 2019Updated 6 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.
- deep learning applied to Network Intrusion Detection with NSL-KDD data☆16Feb 3, 2018Updated 8 years ago
- 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
- 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
- Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15☆775May 8, 2019Updated 7 years ago
- Basic Machine learning projects and assignments done by me.☆35Aug 12, 2020Updated 6 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆77Oct 20, 2020Updated 5 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 11, 2026Updated last month
- Implementation of the ACL Findings paper "OutFlip: Generating Examples for Unknown Intent Detection with Natural Language Attack"☆10May 24, 2021Updated 5 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆99May 30, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Machine Learning and Deep Learning models for Anomaly Detection☆11Mar 10, 2019Updated 7 years ago
- 修改谷歌 提供的样例量子卷积神经网络模型，基于KDD99数据集进行训练，实现了网络攻击分类检测。☆37Jan 27, 2022Updated 4 years ago
- Adversarial machine learning and explainable machine learning for cyber security☆13Jun 21, 2022Updated 4 years ago
- using machine-learning to detecte instruction☆31Oct 21, 2019Updated 6 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 …☆51Nov 2, 2021Updated 4 years ago
- 2020 was a roller coaster of major, world-shaking events. We all couldn't wait for the year to end. But just as 2020 was about to close, …☆23Mar 26, 2022Updated 4 years ago
- The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and b…☆11Aug 10, 2019Updated 7 years ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆226Apr 25, 2024Updated 2 years ago
- CICIDS2017 dataset☆73Jan 4, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆16Jan 5, 2017Updated 9 years ago
- A python script to carry out brute force attack on JIIT cyberoam portal.☆12Nov 16, 2016Updated 9 years ago
- 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
- The comparison of the performance of different machine learning methods for computer security problems☆10May 19, 2024Updated 2 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆89Jan 24, 2018Updated 8 years ago
- Attack Surface Mapper is a reconnaissance tool that uses a mixture of open source intellgence and active techniques to expand the attack …☆17Apr 8, 2024Updated 2 years ago
- Training and testing of linguistic passwords models.☆28Aug 20, 2024Updated 2 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
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆25Dec 20, 2020Updated 5 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Implementation of Research Paper titled: An explainable AI based Intrusion Detection System for DNS over HTTPS (DoH) Attacks on CICIDS da…☆11Jul 11, 2023Updated 3 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN w…☆54Aug 10, 2023Updated 3 years ago
- a python tool used to scan for Open redirection vulnerability☆20Dec 29, 2017Updated 8 years ago
- In this repository, DDOS attacks were detected using Recurrent Neural Networks (LSTM) and Classical Machine Learning Algorithms.☆19Jun 28, 2021Updated 5 years ago
- Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased …☆51May 21, 2019Updated 7 years ago
- Cyder is a Honeypot that can imitate any machines Operating System (OS) that is available in the NMAP database☆12May 26, 2022Updated 4 years ago
- Detecting Abnormal Connections of a Network-Flow (KDD-cup 99)☆13Jul 18, 2018Updated 8 years ago