c2dc / AB-TRAPLinks
This is a five-step framework for the development of intrusion detection systems (IDS) using machine learning (ML) considering model realization, and performance evaluation.
☆57Updated 3 weeks ago
Alternatives and similar repositories for AB-TRAP
Users that are interested in AB-TRAP are comparing it to the libraries listed below
Sorting:
- Machine Learning in Cybersecurity☆89Updated 8 months ago
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆48Updated last year
- A machine learning based Intrusion Detection System☆162Updated 6 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆73Updated 6 years ago
- Public datasets to help you address various cyber security problems.☆463Updated 3 years ago
- This is a Python version of CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) - an Ethernet traffic Bi-flow generator and analyzer for …☆81Updated 4 years ago
- ☆74Updated 4 months ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆218Updated last year
- DoHlyzer is a DNS over HTTPS (DoH) traffic flow generator and analyzer for anomaly detection and characterization.☆71Updated 2 years ago
- This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showca…☆103Updated 2 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆170Updated 6 years ago
- A Zeek script to generate features based on timing, volume and metadata for traffic classification.☆58Updated 5 years ago
- CTU13 CSV Dataset contains Botnet, Normal and Background traffic☆18Updated 2 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆66Updated 5 years ago
- Feature Extraction and Machine Learning from Network Traffic Traces☆73Updated last year
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆92Updated 5 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆145Updated 4 years ago
- pretrained BERT model for cyber security text, learned CyberSecurity Knowledge☆204Updated 2 years ago
- Scripts to deploy virtual testbed for log data analysis and anomaly detection.☆27Updated 2 years ago
- This forked repository contains our fixed version of the original CICFlowmeter tool. The improvements were implemented as part of our pap…☆53Updated last year
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆234Updated 3 years ago
- A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)☆367Updated last year
- CICFlowmeter written in python for easy to try out☆79Updated last month
- A comprehensive survey of datasets for research in host-based and/or network-based intrusion detection, with a focus on enterprise networ…☆49Updated this week
- IoT Attack Detection with machine learning☆28Updated 7 months ago
- Official ID2T repository. ID2T creates labeled IT network datasets that contain user defined synthetic attacks.☆64Updated 2 years ago
- SecureBERT is a domain-specific language model to represent cybersecurity textual data.☆110Updated last year
- AttacKG: Constructing Knowledge-enhanced Attack Graphs from Cyber Threat Intelligence Reports☆178Updated 2 years ago
- ☆131Updated 5 years ago
- CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection that has be…☆194Updated 2 years ago