机构地区:[1]Department of Computer Science and Engineering,Sri Krishna College of Technology,Coimbatore,641042,India [2]Department of Computer Science and Engineering,Vignan Nirula Institute of Technology and Science,Guntur,522009,India [3]Department of Computer Science and Engineering,Soonchunhyang University,Asan,31538,Korea [4]Department of Mathematics,Faculty of Science,Mansoura University,Mansoura,35516,Egypt [5]Department of Computational Mathematics,Science,and Engineering(CMSE),Michigan State University,East Lansing,MI,48824,USA
出 处:《Computer Systems Science & Engineering》2023年第3期2209-2223,共15页计算机系统科学与工程(英文)
基 金:This research was supported by Korea Institute for Advancement of Technology(KIAT)grant funded by the Korea Government(MOTIE)(P0012724,The Competency Development Program for Industry Specialist);the Soonchunhyang University Research Fund;This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute(KHIDI);funded by the Ministry of Health&Welfare,Republic of Korea(grant number:HI21C1831);the Soonchunhyang University Research Fund.
摘 要:Health care visualization through Internet of Things(IoT)over wireless sensor network(WSN)becomes a current research attention due to medical sensor evolution of devices.The digital technology-based communication system is widely used in all application.Internet of medical thing(IoMT)assisted health-care application ensures the continuous health monitoring of a patient and provides the early awareness of the one who is suffered without human participation.These smart medical devices may consume with limited resources and also the data generated by these devices are large in size.These IoMT based applications suffer from the issues such as security,anonymity,privacy,and interoper-ability.To overcome these issues,data aggregation methods are the solution that can concatenate the data generated by the sensors and forward it into the base station through fog node with efficient encryption and decryption.This article proposed a well-organized data aggregation and secured transmission approach.The data generated by the sensor are collected and compressed.Aggregator nodes(AN)received the compressed data and concatenate it.The concatenated and encrypted data is forward to fog node using the enhanced Paillier cryptogra-phy-based encryption with Message Authentication code(MAC).Fog node extracts the forwarded data from AN using Fog message extractor method(FME)with decryption.The proposed system ensures data integrity,security and also protects from security threats.This proposed model is simulated in Net-work Simulator 2.35 and the evaluated simulation results proves that the aggregation with MAC code will ensures the security,privacy and also reduces the communication cost.Fog node usages in between Aggregator and base station,will reduce the cloud server/base station computational overhead and storage cost.The proposed ideology is compared with existing data aggregation schemes in terms of computational cost,storage cost,communication cost and energy cost.Cost of communication takes 18.7 ms which is much lesser than exi
关 键 词:FOG IoMT wireless sensor network cloud AGGREGATION ENCRYPTION DECRYPTION energy
分 类 号:TN918.4[电子电信—通信与信息系统]
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