A groundbreaking engineering study titled “Simulation of Nano-Robots Technology for Production Optimization in An-Nagyah Field, Block S1, Yemen” was defended at the Faculty of Engineering. The researchers utilized ECLIPSE software integrated with Python to analyze reservoir characteristics and evaluate the efficiency of nano-robotics in maximizing oil recovery. The project was executed by Rafa Al-Qudsi, Bashar Al-Zaidi, Abdulqader Rafat, Ahmed Al-Haysami, and Wardman Omair, under the academic supervision of Eng. Abdullah Al-Mughalles.
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IUTT Showcases "Rasid Logs Forensic": An Innovative Tool for Digital Forensics and Incident Response
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IUTT students develop “Rasid Logs Forensic”, a high-speed digital forensic platform for Windows log analysis and threat detection using Rust and Sigma rules.
IUTT Showcases "CyberTrap" Project: An Innovative Approach to Cyber Deception and Threat Detection
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IUTT students present “CyberTrap”, an innovative cyber deception project using Honeytokens to detect advanced threats and ensure immediate security response.
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IUTT students develop a cutting-edge Machine Learning-based Intrusion Prevention System (IPS) capable of processing 1.2M packets per second with 97% accuracy.