IUTT University celebrates the graduation project defenses of its inaugural Cybersecurity batch, reinforcing its leadership in modern digital disciplines.
IUTT’s DermAI project represents a breakthrough in medical AI, utilizing nine specialized agents and LLMs for professional dermatological diagnosis and healthcare management.
IUTT presents “SafeMailer”, an intelligent email security gateway designed to protect communication infrastructures from phishing and malicious threats using AI.
ForensLink project at IUTT introduces an intelligent system using ELECTRA techniques to detect malicious links and protect users from electronic fraud.
IUTT students present “CyberTrap”, an innovative cyber deception project using Honeytokens to detect advanced threats and ensure immediate security response.
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 students develop a cutting-edge Machine Learning-based Intrusion Prevention System (IPS) capable of processing 1.2M packets per second with 97% accuracy.
Summary of: Automation and AI agents training course at IUTT…
This thesis examines e-learning systems in higher education in Yemeni universities by analyzing key influencing factors and collecting feedback from students and faculty members. A descriptive-analytical approach is used to provide practical recommendations for improvement.
This thesis examines digital archiving of theses and dissertations in yemeni universities by analyzing key influencing factors and collecting feedback from students and faculty members. A descriptive-analytical approach is used to provide practical recommendations for improvement.
This thesis examines cloud computing adoption in academic libraries in yemeni universities by analyzing key influencing factors and collecting feedback from students and faculty members. A descriptive-analytical approach is used to provide practical recommendations for improvement.
This thesis examines student satisfaction with online registration systems in yemeni universities by analyzing key influencing factors and collecting feedback from students and faculty members. A descriptive-analytical approach is used to provide practical recommendations for improvement.