Md. Shaba Sayeed

Researcher

Last publication 2025 Last refreshed 2026-05-02

unknown

3 h-index 7 pubs 19 cited

Biography and Research Information

OverviewAI-generated summary

Md. Shaba Sayeed's research focuses on cybersecurity, particularly in the context of human factors and the Internet of Things (IoT). His work investigates methods for enhancing authentication systems, such as incorporating knock code technology to strengthen global two-factor authentication. Sayeed also explores the security challenges and potential solutions for IoT networks, including authentication, access control, and data protection. A significant portion of his research addresses the human element in cybersecurity, examining how user awareness, psychology, and training impact security. This includes developing systems to protect vulnerable populations, such as seniors, from cyber threats using AI-powered platforms. Sayeed's publications also touch upon the detection of malicious URLs and the prospects and challenges of IoT-based systems like parking management and ATM monitoring.

Metrics

  • h-index: 3
  • Publications: 7
  • Citations: 19

Selected Publications

  • Detecting Malicious URLs in Brushing Scams: A Machine Learning Approach with Human-Centered Cybersecurity (2025)
    2 citations DOI OpenAlex
  • ElderConnect: An AI-Powered Platform to Empower Seniors Against Cyberthreats (2025)

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Collaboration Network

15 Collaborators 5 Institutions 2 Countries

Top Collaborators

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