Female students showcased specialized technical projects: Athar (Yemeni traditional fashion via Augmented Reality by Faiza Meshal and Hadeel Al-Qudsi), Thilal Al-Sahab (3D modeling of Hutayb village by Ghadeer Al-Harazi), and Heritage Map (An interactive AR map of prominent Yemeni landmarks by Amat Al-Rahman Al-Fakhri). These projects highlight the faculty’s capability in producing tech-savvy cadres.
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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.