ICCK

Mehbub Alam

Indian Institute of Information Technology Raichur, India

Section 01

Academic Profile

Dr. Mehbub Alam is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Information Technology (IIIT) Raichur, India. He received his Ph.D. in Computer Science and Engineering from the Indian Institute of Information Technology Guwahati. Prior to joining IIIT Raichur, he worked as a Postdoctoral Researcher at Khalifa University, Abu Dhabi, where he contributed to research on secure unmanned traffic management systems and drone security. His research interests include cybersecurity, drone/UAV security, Internet of Things (IoT), fog and edge computing, and verifiable computing. He has published research in leading venues such as IEEE Transactions on Services Computing, IEEE Internet of Things Journal, and Ad Hoc Networks (Elsevier). His work focuses on secure communication frameworks, lightweight authentication mechanisms, and scalable architectures for next-generation cyber-physical and IoT systems.

Section 02

Editorial Roles

This user currently does not serve as an editor for any ICCK journals.

Section 03

ICCK Publications

Open Access | Research Article | 21 September 2026
Paying for Trust at the Edge: Secure, Lightweight, Deadline-Aware Named Data Networking for Edge-Cloud Compute Orchestration
Journal of Reliable and Secure Computing | Volume 2, Issue 3: 212-232, 2026 | DOI: 10.62762/JRSC.2026.615829
Abstract
Edge nodes are among the most resource-constrained components of computing infrastructure, yet security verification competes directly with application execution for limited compute resources. In Named Data Networking (NDN), each retrieved object carries a producer signature whose verification consumes edge CPU cycles, while existing cryptographic and orchestration studies rarely quantify its impact on service reliability. This paper develops SLED, a secure edge--cloud framework over NDN that incorporates a Security Verification Engine (SVE) into the edge compute budget, explicitly coupling verification occupancy with named-function execution. SLED combines DACSIR, which prices verification... More >

Graphical Abstract
Paying for Trust at the Edge: Secure, Lightweight, Deadline-Aware Named Data Networking for Edge-Cloud Compute Orchestration