An Advanced and Efficient Cluster Key Management Scheme for Agriculture Precision IoT Based Systems

Author:

Anand Sakshi1,Sharma Avinash2

Affiliation:

1. PhD Scholar, CSE Department, M.M. Deemed to be University, Mullana, Haryana, India

2. Professor, CSE Department, M.M. Deemed to be University, Mullana, Haryana, India

Abstract

Things that connect to other devices & systems via Internet or communication networks are called IoT. It can also be said as a network of wireless sensors connected to a cloud and controlled by embedded devices. Considering the large framework of IoT, it becomes a little difficult to maintain security at each sensor node especially with limited information regarding hardware and deployment capabilities. Therefore, management of keys has become a point of concern peculiarly taking account of node capturing attack. This paper proposes an advanced cluster key management scheme for agriculture precision which involves EBS constructor and Chinese remainder theorem together. Once the data is collected from the nodes and a list is created, it is sent from the Cluster Head to the Backend Server, which filters it for hostile IDs and ignore the unauthentic sensor, returning filtered list with preloaded keys, & an authentication code to Cluster Head for use. To ensure added security, in this scheme encryption of data is done twice. Upon comparing the proposed scheme with others, it has been observed that we have achieved higher delivery ratio and reduced the energy consumption and packet drop rate to a great extent.

Publisher

FOREX Publication

Subject

Electrical and Electronic Engineering,Engineering (miscellaneous)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Performance and Accuracy Enhancement of Cloud Environment During Precision Agriculture;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-07-03

2. A Novel Hybrid Energy Efficient Model using Clustering in Wireless Sensor Networks;International Journal of Electrical and Electronics Research;2023-06-26

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