Md. Shaba Sayeed

OverviewAI-generated summary

Md. Shaba Sayeed's research focuses on cybersecurity, particularly in the context of the Internet of Things (IoT) and human-centered security approaches. His work investigates challenges and solutions for securing IoT networks, including authentication, access control, and data protection. Sayeed has explored the integration of additional authentication methods, such as knock code technology, to enhance global two-factor authentication systems. He also studies the intersection of cybersecurity and human psychology, examining how user awareness and training impact security outcomes, as well as social engineering tactics.

Further research by Sayeed includes developing human-centered cybersecurity strategies for detecting malicious URLs in brushing scams, utilizing machine learning. He has also investigated IoT-based parking systems and monitoring systems for automated teller machines (ATMs). His recent work includes the development of "ElderConnect," an AI-powered platform designed to protect seniors from cyber threats, and research on secure IoT networks.

Metrics

• h-index: 2
• Publications: 7
• Citations: 17