Title: Reinforcing blockchain security with advanced anomaly detection in edge computing using EDGESENTRY

Authors: B. Senthilkumar; Prashant Bachanna; U. Barakkath Nisha; M. Sravani; S. Swathi; K. Srihari; Thrivikram Bathini; R. Yasir Abdullah

Addresses: Department of Electronics and Communication Engineering, KIT - Kalaignarkarunanidhi Institute of Technology, Coimbatore, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Institute of Aeronautical Engineering, Hyderabad, Telangana, India ' Department of MTech (Computer Science and Engineering), Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India ' Department of Computer Science and Engineering (CSE), SNS College of Technology, Coimbatore, Tamil Nadu, India ' Department of Computer Science and Engineering (CSE), SNS College of Technology, Coimbatore, Tamil Nadu, India ' SNS College of Technology, Coimbatore, Tamil Nadu, India ' Sree Rama Engineering College, Tirupati, Andhra Pradesh, India ' Department of CSBS, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India

Abstract: Within the realm of distributed systems, the fusion of blockchain technology and edge computing has generated considerable attention, offering the potential for improved security and efficiency in decentralised applications. This article presents EDGESENTRY, an abbreviation for 'Enhanced Detection for Genuine Edge Security', a novel anomaly detection technique designed exclusively for blockchain-integrated edge computing settings. A comparison between EDGESENTRY and currently available anomaly detection algorithms developed for edge computing were conducted. This comparison focuses on highlighting the distinctive characteristics and performance benefits of EDGESENTRY. By conducting thorough experimentation and assessment, which includes comparing against the most advanced methodologies, the efficiency of EDGESENTRY in identifying and reducing irregularities in blockchain transactions that occur at the outer edges of the network was calculated. This research article emphasises the importance of EDGESENTRY in strengthening the security of blockchain in edge computing environments. Furthermore, the article examines the consequences for future investigation and advancement, including possible improvements to the algorithm and study of new uses in emerging fields. EDGESENTRY tackles the difficulties of identifying abnormal behaviour in decentralised systems, hence enabling the development of more secure and robust edge computing infrastructures at the time of blockchain advancements.

Keywords: anomaly detection; blockchain security; edge computing; EDGESENTRY; reliability.

DOI: 10.1504/IJGUC.2025.148539

International Journal of Grid and Utility Computing, 2025 Vol.16 No.5/6, pp.527 - 539

Received: 27 May 2024
Accepted: 30 Aug 2024
Published online: 11 Sep 2025 *

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