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.
☆55Updated 3 years ago
Alternatives and similar repositories for AB-TRAP
Users that are interested in AB-TRAP are comparing it to the libraries listed below
Sorting:
- ☆68Updated last month
- Machine Learning in Cybersecurity☆86Updated 4 months ago
- A machine learning based Intrusion Detection System☆150Updated 5 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆163Updated 5 years ago
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆42Updated last year
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆210Updated last year
- Public datasets to help you address various cyber security problems.☆450Updated 3 years ago
- CTU13 CSV Dataset contains Botnet, Normal and Background traffic☆16Updated 2 years ago
- IoT Attack Detection with machine learning☆27Updated 3 months ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆63Updated 5 years ago
- This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showca…☆83Updated last year
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆71Updated 6 years ago
- This forked repository contains our fixed version of the original CICFlowmeter tool. The improvements were implemented as part of our pap…☆47Updated last year
- A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)☆357Updated last year
- Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).☆26Updated 5 years ago
- DDoS attack analysis using Machine Learning☆45Updated 5 years ago
- DoHlyzer is a DNS over HTTPS (DoH) traffic flow generator and analyzer for anomaly detection and characterization.☆67Updated 2 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆88Updated 5 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆141Updated 3 years ago
- pretrained BERT model for cyber security text, learned CyberSecurity Knowledge☆192Updated 2 years ago
- Feature Extraction and Machine Learning from Network Traffic Traces☆71Updated last year
- NLP model and tech for cyber security tasks☆88Updated 2 years 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.☆99Updated last year
- A Zeek script to generate features based on timing, volume and metadata for traffic classification.☆59Updated 4 years ago
- This is a Python version of CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) - an Ethernet traffic Bi-flow generator and analyzer for …☆75Updated 4 years ago
- Coburg Intrusion Detection Data Sets☆51Updated 7 years ago
- This project aims to analyze and classify a real network traffic dataset to detect malicious/benign traffic records. It compares and tune…☆23Updated last year
- 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
- A comprehensive survey of datasets for research in host-based and/or network-based intrusion detection, with a focus on enterprise networ…☆46Updated last week