Cryptographic security for IoT : Leveraging Feistel-permutation network for enhanced encryption

Author:

Singh Kiran Deep,Singh Prabh Deep,Saini G. L.,Panwar Deepak,Goyal Dinesh

Abstract

The emergence of the Internet of Things (IoT) has initiated an era where numerous devices are interconnected, resulting in the generation of significant volumes of data. Data security is an issue raised by this increase in communication, especially when it comes to picture encryption. Traditional encryption methods create considerable challenges in resource-constrained IoT environments. In this paper, a novel encryption-based framework known as the Feistel-Permutation Network Hybrid is proposed. It effectively safeguards IoT image data. A comprehensive performance evaluation by utilizing MATLAB that shows the effectiveness of the algorithm used. The findings offer valuable insights into the efficacy of the algorithm. Also, the areas for further investigation within the ever-evolving field of IoT image encryption are discussed.

Publisher

Taru Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3