Research on secure Internet of things gateway technology based on multi-communication methods

The Internet of Things, as an important part of important data aggregation, forwarding and control, often leads to objectivity errors due to the huge and complex received data. Based on this, this paper introduces GRU, LSTM, SRU deep learning to optimize the data received by the Internet of Things,...

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Main Authors: Fan Ying, Chen Yang, Shi Zhenyu, Peng Mingyang, Zhang Ziying
Format: Article
Language:English
Published: Sciendo 2023-07-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2023.1.00043
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author Fan Ying
Chen Yang
Shi Zhenyu
Peng Mingyang
Zhang Ziying
author_facet Fan Ying
Chen Yang
Shi Zhenyu
Peng Mingyang
Zhang Ziying
author_sort Fan Ying
collection DOAJ
description The Internet of Things, as an important part of important data aggregation, forwarding and control, often leads to objectivity errors due to the huge and complex received data. Based on this, this paper introduces GRU, LSTM, SRU deep learning to optimize the data received by the Internet of Things, and selects the most suitable communication mode optimization algorithm. The experimental results show that the accuracy errors of GRU, LSTM, and SRU algorithms show a downward trend, from 0.024 to 0.010%; the training time is reduced by 254 minutes, and the training speed is increased to 86%, indicating the excellent performance of SRU deep learning in IoT gateways.
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spelling doaj.art-a314bbc92214449abad7fcb3a19dce9d2024-03-11T10:05:45ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562023-07-01821401141410.2478/amns.2023.1.00043Research on secure Internet of things gateway technology based on multi-communication methodsFan Ying0Chen Yang1Shi Zhenyu2Peng Mingyang3Zhang Ziying41Electric Power Research Institute of Electrical Guangdong Power Grid Co., Ltd. Guangzhou, Guangdong, 510080, China1Electric Power Research Institute of Electrical Guangdong Power Grid Co., Ltd. Guangzhou, Guangdong, 510080, China1Electric Power Research Institute of Electrical Guangdong Power Grid Co., Ltd. Guangzhou, Guangdong, 510080, China1Electric Power Research Institute of Electrical Guangdong Power Grid Co., Ltd. Guangzhou, Guangdong, 510080, China1Electric Power Research Institute of Electrical Guangdong Power Grid Co., Ltd. Guangzhou, Guangdong, 510080, ChinaThe Internet of Things, as an important part of important data aggregation, forwarding and control, often leads to objectivity errors due to the huge and complex received data. Based on this, this paper introduces GRU, LSTM, SRU deep learning to optimize the data received by the Internet of Things, and selects the most suitable communication mode optimization algorithm. The experimental results show that the accuracy errors of GRU, LSTM, and SRU algorithms show a downward trend, from 0.024 to 0.010%; the training time is reduced by 254 minutes, and the training speed is increased to 86%, indicating the excellent performance of SRU deep learning in IoT gateways.https://doi.org/10.2478/amns.2023.1.00043multiple communication methodsiot gatewaygrulstmsru68m10
spellingShingle Fan Ying
Chen Yang
Shi Zhenyu
Peng Mingyang
Zhang Ziying
Research on secure Internet of things gateway technology based on multi-communication methods
Applied Mathematics and Nonlinear Sciences
multiple communication methods
iot gateway
gru
lstm
sru
68m10
title Research on secure Internet of things gateway technology based on multi-communication methods
title_full Research on secure Internet of things gateway technology based on multi-communication methods
title_fullStr Research on secure Internet of things gateway technology based on multi-communication methods
title_full_unstemmed Research on secure Internet of things gateway technology based on multi-communication methods
title_short Research on secure Internet of things gateway technology based on multi-communication methods
title_sort research on secure internet of things gateway technology based on multi communication methods
topic multiple communication methods
iot gateway
gru
lstm
sru
68m10
url https://doi.org/10.2478/amns.2023.1.00043
work_keys_str_mv AT fanying researchonsecureinternetofthingsgatewaytechnologybasedonmulticommunicationmethods
AT chenyang researchonsecureinternetofthingsgatewaytechnologybasedonmulticommunicationmethods
AT shizhenyu researchonsecureinternetofthingsgatewaytechnologybasedonmulticommunicationmethods
AT pengmingyang researchonsecureinternetofthingsgatewaytechnologybasedonmulticommunicationmethods
AT zhangziying researchonsecureinternetofthingsgatewaytechnologybasedonmulticommunicationmethods