Abdulrahman Alamer
Papers
3
Total Citations
28
H-Index
3
About
Abdulrahman Alamer is a leading researcher at the intersection of cybersecurity, fog computing, and the Internet of Robotic Things (IoRT). His work focuses on addressing critical security and privacy challenges in distributed robotic networks. Alamer’s most influential contribution, “A secure anonymous tracing fog-assisted method for the Internet of Robotic Things” (2020, 16 citations), pioneered a novel framework that leverages fog computing to enable secure, anonymous communication between robotic devices while maintaining traceability for accountability. This foundational work established key protocols for protecting data integrity in IoRT systems. He further advanced the field with “Security and privacy of network transmitted system in the Internet of Robotic Things” (2022, 9 citations), which systematically analyzed vulnerabilities in IoRT network transmissions. Most recently, his 2024 paper on “Trustworthy federated learning model for the internet of robotic things” (3 citations) introduces a privacy-preserving federated learning approach that allows robotic devices to collaboratively train models without exposing sensitive data. Alamer’s research is particularly impactful for real-world IoRT deployments in smart cities, healthcare, and industrial automation, where secure, decentralized robotic coordination is essential. His work continues to shape the future of trustworthy, privacy-aware robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Trustworthy federated learning model for the internet of robotic things3 citations · 2024