ANALYZING THREATS. ESTABLISHING SECURE CONNECTION.
Smart Intrusion Detection System — AI, Cybersecurity, Networking, Frontend & Backend
The Smart Intrusion Detection System (SIDS) is a graduation project designed to detect, analyze, and respond to intrusions in real-time. It integrates cutting-edge technologies from AI, Networking, Cybersecurity, Frontend, and Backend to create one cohesive, scalable, secure, and innovative system.
Secures data, applies threat analysis, and ensures safe communication across all system layers.
Monitors and analyzes network traffic in real-time to detect anomalous behavior and potential threats.
Leverages advanced machine learning models to predict and detect threats with high accuracy.
Provides an intuitive and responsive dashboard for real-time monitoring and easy management of alerts.
Serves as the core engine, processing data, integrating AI models, and powering the entire system.
Our system provides a robust set of features to ensure comprehensive security and ease of use.
Instantly visualize all network traffic and identify anomalies as they occur.
AI-driven responses to mitigate threats without the need for human intervention.
Generate comprehensive reports on all security incidents and system performance.
SIDS leverages AI to proactively detect anomalies in network traffic. It combines real-time monitoring, automated responses, and a user-friendly interface to empower organizations to strengthen their cybersecurity posture and mitigate threats before they escalate.
Innovating with AI, Security, and Technology — Delta Graduation Project 2025.
We’d love to hear from you! Connect with us through email or follow our work on GitHub & LinkedIn.