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Final Year Project

Forti Vault

Team

MU Muhammad Isbah FA Fakhir Najeeb CH Chahat Fatima
Forti Vault Machine Learning Signature Based Detection Intrusion Detection System Network Security Real-Time Monitoring Anomaly Detection Predictive Analysis Zero-Day Attacks Automated Mitigation Neural Networks Pattern Recognition Deep Packet Inspection Cyber Defense Traffic Analysis Threat Classification Data Security.

Abstract

Forti Vault is an AI-powered Intrusion Detection System that replaces reactive security with proactive intelligence. By using advanced Machine Learning to analyze network traffic in real-time, it identifies and neutralizes sophisticated threats with high accuracy. This project provides an automated, self-evolving defense to secure critical infrastructure and combat global cybercrime, without any technical intervention.
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