Authors - Kalpesh Popat, Divyakant Meva Abstract - Context Edge computing allows for processing data in real-time closer to its sources, which helps in applications like IoT, smart cities, healthcare, and industrial systems. However, security and privacy concerns hinder its mass adoption. This bibliometric analysis deals with security and privacy research in edge computing from 2023 – 2025. In compliance with the PRISMA guidelines, we con-ducted a bibliometric analysis on 643 peer-reviewed journal articles obtained from Scopus, employing methods such as analysis of publication trends, key-word co-occurrence, technology mapping, and domain analysis using VOSviewer and Biblioshiny software. Number of publications also grew exponentially (165 in 2023, 402 in 2024, 76 in early 2025 alone). The dataset provides h-index of 18 and g-index of 32. Security technologies such as blockchain, federated learning, and machine learning are prevalent. Primary domains include IoT networks, healthcare, and vehicular computing. All the publications are open access. Output in publications is led by China, India and the United States. This field shows fast maturing with the focus on lightweight cryptography, privacy-preserving mechanisms, and integration of the emerging technologies. Future research needs to focus on scalability, energy efficiency, and standardization to support mainstream adoption.
