cicids2017

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

A thesis submitted for the degree of Master of Science in Computer Networks and Security

Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.

This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showcasing the implementation and comparison of different machine learning models for binary and multi-class classification tasks.

An Intrusion Detection System based on Deep Belief Networks

CICIDS2017 dataset

Data stream analytics: Implement online learning methods to address concept drift and model drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems" published in IEEE Transactions on Industrial Informatics.

This repository includes code for the paper "Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks" published in IEEE TCOM, focusing on autonomous cybersecurity (physical-layer authentication and cross-layer intrusion detection) using AutoML techniques.

This repository includes code for the paper “Toward Autonomous and Efficient Cybersecurity: A Multi Objective AutoML based Intrusion Detection System” published in IEEE TMLCN, implementing AutoML and MOO-based intrusion detection systems that optimize both ML model effectiveness and efficiency for IoT systems.

Attack Detection, Parameter Optimization and Performance Analysis in Enterprise Networks (ML Networks) for Intrusion Detection System IDS.

This repository contains my third year dissertation. My dissertation focused in evaluating and creating a DNN for a Network Intrusion Detection System (NIDS).

Network-Based Intrusion Detection System - dev/deploy-ment

Flow-based network intrusion detection in C++, with a live dashboard.

Deep learning model comparison for intrusion detection on CIC-IDS2017 dataset

Network Intrusion Detection System using Machine Learning and Deep Learning

A Framework for DDoS Attack Detection Using Hyperparameter Optimization, WGAN-GP–Based Data Augmentation, Feature Extraction via Genetic Algorithms, RFE, and PCA, with Individual and Ensemble Classifiers for Multi-Dataset Evaluation.

Real-time intrusion detection system: RandomForest on CICIDS2017 (15 attack types), SOC dashboard, polyglot SQL + MongoDB + Redis architecture

This repository includes code for the paper “A Multi-Objective AutoML-based Efficient Intrusion Detection System for EV Charging Networks” accepted in IEEE Global Communications Conference (GLOBECOM 2026), implementing MOO (NSGA-III) and AutoML-based intrusion detection systems that optimize both ML model performance and efficiency for IoT systems.

Intrusion Detection System (IDS): An open-source system for real-time network monitoring and threat detection.

Novel Explainability-Weighted Federated Aggregation for Privacy-Preserving Network Intrusion Detection using XAI