NITRO-IDS
Network IoT Traffic Analyzer Software
NITRO-IDS is a graduation project developed to support intelligent monitoring and analysis of Internet of Things (IoT) network traffic using modern Artificial Intelligence technologies.
About the Project
About the Project
NITRO-IDS is an AI-powered cybersecurity project developed to analyze IoT network traffic and support intelligent intrusion detection through modern machine learning and deep learning techniques.
The project combines research, innovation, and practical implementation to provide a modern approach for understanding and monitoring IoT network environments.
Artificial Intelligence
IoT Network Monitoring
Cybersecurity Research
Research Publication
The research associated with NITRO-IDS was accepted and presented at the 16th International Conference for Innovations in Electronics, EM-Waves and Communications (IICC 2026), organized by the Military Technical College.
This publication represents an important milestone for the project and highlights the team's commitment to scientific research and innovation.
Presented at
IICC 2026
Conference Gallery
Highlights from IICC 2026
Project Supervisor
Project Supervisor
Dr. Amel Mohamed Mahmoud
Guiding the project through research, innovation, and academic excellence.
Project Team
Ahmed Mohamed Ahmed
Student
Bishoy Emad Fekry
Student
Gerges Sobhy Gerges
Student
Mina Magdy Riad
Student
Mohamed Mostafa Abdelnaby
Student
Mohamed Wael Mohamed
Student
Youssef Hamdy Youssef
Student
Acknowledgment
We would like to express our heartfelt gratitude to Dr. Amel Mohamed Mahmoud for her guidance, support, and mentorship throughout this project.
We also extend our sincere thanks to the Communications & Electronics Engineering Department and Canadian International College (CIC) for providing an inspiring academic environment that encouraged innovation, research, and professional growth.
Their support and dedication have been instrumental in the successful completion of this project.