Title: Load balancing of fog computing centre and its security using elliptic curve cryptography

Authors: Yogita Pagar; Dilip Rathod; Girish Chowdhary

Addresses: Department of Computer Science and Engineering, P.E.S. College of Engineering, Aurangabad, Maharashtra, India ' Department of Computer Science and Engineering, P.E.S. College of Engineering, Aurangabad, Maharashtra, India ' School of Computational Science, Swami Ramanand Teerth Marathwada (SRTM) University, Nanded, Maharashtra, India

Abstract: The internet of things (IoT) and the fog computing paradigm are the next wave in the era of computing and have been emerging technologies in the fields of computer science and information technology. Prior research concentrates on the integration of IoT and fog computing but is limited because it cannot be extended to all applications due to inadequate security architecture. In this paper, we propose a biocryptography approach using biometric key generation for elliptic curve cryptography (ECC) based on the authentication of fog computing. In biometric-based ECC, a private key is generated via the fingerprint of the user ensures complete protection against security risks such as confidentiality, authentication, integrity, and privacy. The security strengths of various public key cryptosystems are analysed, and ECC is one of the best cryptosystems for fog-based IoT middleware.

Keywords: internet of things; IoT; fog computing; load balancing; elliptic curve cryptography; ECC; biometric; authentication.

DOI: 10.1504/IJAC.2020.114379

International Journal of Autonomic Computing, 2020 Vol.3 No.3/4, pp.245 - 260

Received: 27 Apr 2020
Accepted: 21 Aug 2020
Published online: 20 Apr 2021 *

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