Title: Cluster-based authentication for machine type communication in LTE network using elliptic curve cryptography

Authors: K. Krishna Jyothi; Shilpa Chaudhari

Addresses: School of Computing and Information Technology, REVA University, Bangalore, India; Department of CSE, SNIST, Hyderabad, India ' Department of CSE, M.S. Ramaiah Institute of Technology, Bangalore, India

Abstract: Machine type communication (MTC) is a significant approach for communication in the long-term evaluation (LTE) networks. This paper intends to introduce a new cluster-based authentication model for MTC in the LTE network. At first, the nodes in LTE network are subjected under the clustering process via k-means approach. However, for the selection of optimal cluster head this paper establishes a novel hybrid approach termed as wolf insisted Jaya algorithm (WI-JA) that hybrid the concept of both Jaya algorithm (JA) and grey wolf optimisation (GWO) algorithms. As a novelty, in this work, all the selected cluster head involves the records of all the remaining nodes exists in network, and this will be handled via block chain technology. Finally, in the authentication phase, authenticate to the chosen cluster head via elliptic curve cryptography (ECC). The performance of the presented framework was evaluated and proved over other conventional models with respect to certain measures.

Keywords: machine type communication; MTC; authentication; LTE network; Jaya algorithm; grey wolf algorithm.

DOI: 10.1504/IJCC.2020.109380

International Journal of Cloud Computing, 2020 Vol.9 No.2/3, pp.258 - 284

Received: 08 Nov 2019
Accepted: 30 Dec 2019

Published online: 24 Aug 2020 *

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