Open Access

ARTICLE

Cryptographic Algorithm for Enhancing Data Security in Wireless IoT Sensor Networks

A. Bhavani, V. Nithya^*

Department of ECE, SRM Institute of Science and Technology, Kattankulathur, 603203, Chennai, Tamilnadu, India

* Corresponding Author: V. Nithya. Email:

Intelligent Automation & Soft Computing 2023, 36(2), 1381-1393. https://doi.org/10.32604/iasc.2023.029397

Received 02 March 2022; Accepted 06 April 2022; Issue published 05 January 2023

Abstract

Wireless IoT Sensor Network can handle audio, video, text, etc., through the interconnection of ubiquitous devices. The entertainment and application-centric network relies on its autonomous nodes for handling large streams of multimedia data. Security breaches and threats due to insider attacks reduce the data handling and distribution capacity of the nodes. For addressing the insider attacks problem, Session-Critical Distributed Authentication Method (SCDAM) is proposed. The proposed method relies on short-lived concealed authentication based on an improved elliptic curve cryptography (ECC) algorithm. In this authentication, the session time and the interrupts are accounted for, providing end-to-end authentication. The session keys are distributed before and after each interrupt from which the shared data is authenticated. This authentication process uses a linear hash process, ensuring non-repetition of keys in the consecutive sessions. This proposed authentication method is capable of providing improved sessions, less data distribution loss, and complexity.

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Keywords

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