AbertayMachineLearningGroup / network-threats-taxonomyLinks
Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies
☆104Updated 5 years ago
Alternatives and similar repositories for network-threats-taxonomy
Users that are interested in network-threats-taxonomy are comparing it to the libraries listed below
Sorting:
- Machine-learning-based intrusion detection☆38Updated 6 years ago
- An anomaly-based intrusion detection system.☆83Updated 2 years ago
- A collection of resources for security data☆41Updated 7 years ago
- This is a paper list about Machine Learning for IDSes☆89Updated 10 months ago
- This program allow you to extract some features from pcap files.☆39Updated 2 years ago
- NSL-KDD Dataset☆187Updated 9 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆140Updated 6 years ago
- This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-at…☆38Updated 4 years ago
- ☆27Updated last year
- An IDS implementation using machine learning☆35Updated 7 years ago
- 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
- IDS based on Machine Learning technical☆20Updated 6 years ago
- Coburg Intrusion Detection Data Sets☆51Updated 7 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
- ICS Cybersecurity PCAP respository☆53Updated 6 years ago
- Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffi…☆68Updated 4 years ago
- Network data classifier based on the recurrent neural network.☆21Updated 6 years ago
- A series of labs that will help users apply various data science techniques to security related data.☆132Updated 10 years ago
- Evading Snort Intrusion Detection System.☆77Updated 3 years ago
- Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.☆156Updated this week
- Data sets and examples for Jask Labs Blackhat 2017 Handout: Top 10 Machine Learning Cyber Security Use Cases☆30Updated 7 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 …☆88Updated 5 years ago
- A completely automated anomaly detector Zeek network flows files (conn.log).☆81Updated 10 months ago
- IoT SENTINEL : Automated Device-Type Identification for Security Enforcement in IoT with Machine Learning☆43Updated 6 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆68Updated 6 years ago
- Machine Learning Models to Detect and Classify Malicious URLs☆52Updated 2 years ago
- Pcap Converter: convert pcap to text or flows.☆49Updated 5 years ago
- IDS Alert Prioritization INSuRE Research Project☆18Updated 6 years ago
- [Finished] My Bachelor thesis for the Bachelor Computer Science (2015-2016) at UHasselt: An Intrusion detection system using machine lear…☆41Updated 8 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.…☆41Updated 6 years ago