AI Powered Intrusion and Threat Hunting System Machine Learning Cybersecurity Project Demo скачать в хорошем качестве

AI Powered Intrusion and Threat Hunting System Machine Learning Cybersecurity Project Demo

This video demonstrates my final year cybersecurity project titled: “AI-Powered Intrusion and Threat Hunting System: A Machine Learning Approach.” The project focuses on developing an intelligent intrusion detection and threat hunting system capable of identifying malicious network activities using machine learning techniques. In this walkthrough, I demonstrate: • The architecture of the system • How network traffic data is analysed • Machine learning model predictions • Detection of different attack types (DDoS, Malware, SQL Injection, etc.) • Security monitoring and analysis workflow The goal of this project is to improve threat detection capabilities by leveraging artificial intelligence to assist cybersecurity analysts in identifying and responding to network threats more efficiently. Tools and Technologies Used: • Python • Machine Learning Models • Network Traffic Analysis • Cybersecurity Datasets • QRadar SIEM • Virtualized Security Environment This project was developed as part of my Bachelor’s degree in Cybersecurity at Teesside University. Author: Chinemelum Nwankwo