Enhancing Data Security and Privacy in Edge Computing: A Comprehensive Review of Key Technologies and Future Directions

Kiran Kumar Patibandla
IJRECE, 11 (2023), pp. 77-88
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Abstract

With the rapid development and widespread application of the Internet of Things (IoT), big data, and 5G networks, traditional cloud computing is increasingly unable to handle the massive amounts of data generated by network edge devices. In response, edge computing has emerged as a promising solution. However, due to its open nature, characterized by content awareness, real-time computing, and parallel processing, edge computing exacerbates the existing data security and privacy challenges already present in cloud environments. This paper outlines the research background of data security and privacy protection in edge computing and proposes a data-centric security framework. It provides a comprehensive review of the most recent advancements in key technologies related to data security, access control, identity authentication, and privacy protection that could be applicable to edge computing. The scalability and applicability of various approaches are analyzed and discussed in detail. Additionally, several practical instances of edge computing that are currently in use are introduced. Finally, the paper highlights key research directions and offers recommendations for future study.