An Effective Secured Privacy-Protecting Data Aggregation Method in IoT

Author:

Pramanik Sabyasachi1ORCID

Affiliation:

1. Haldia Institute of Technology, India

Abstract

Because privacy concerns in IoT devices are the most sensitive of all the difficulties, such an extreme growth in IoT usage has an impact on the privacy and life spans of IoT devices, because until now, all devices communicated one to one, resulting in high traffic that may shorten the life of unit nodes. In addition, delivering data repeatedly increases the likelihood of an attacker attacking the system. Such traffic may exacerbate security concerns. The employment of an aggregator in the system as an intermediary between end nodes and the sink may overcome these problems. In any system with numerous sensors or nodes and a common controller or sink, we can use an intermediate device to combine all of the individual sensor data and deliver it to the sink in a single packet. Aggregator is the name given to such a device or component. Data aggregation is carried out to decrease traffic or communication overhead. In general, this strategy helps to extend the life of a node while also reducing network transmission.

Publisher

IGI Global

Cited by 28 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. Apollo Hospital's Proposed Use of Big Data Healthcare Analytics;Big Data Analytics Techniques for Market Intelligence;2024-01-04

2. Intelligent Farming Utilizing a Soil Tracking Device;Advances in Environmental Engineering and Green Technologies;2023-11-24

3. The Suggested Use of Big Data in Medical Analytics by Fortis Healthcare Hospital;Advances in Human and Social Aspects of Technology;2023-11-09

4. Multi-Parameter Secure Data Aggregation in Data Centre with Integrity Verification;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

5. Healthcare Cloud Services in Image Processing;Handbook of Research on Thrust Technologies’ Effect on Image Processing;2023-06-30

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