Dynamic Bargain Game Theory in the Internet of Things for Data Trustworthiness

Smart home and smart building systems based on the Internet of Things (IoT) in smart cities currently suffer from security issues. In particular, data trustworthiness and efficiency are two major concerns in Internet of Things (IoT)-based Wireless Sensor Networks (WSN). Various approaches, such as r...

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Autores principales:	Appasamy C. Sumathi, Muthuramalingam Akila, Rocío Pérez de Prado, Marcin Wozniak, Parameshachari Bidare Divakarachari
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	data trustworthiness dynamic bargaining game internet of things smart homes packet delivery ratio wireless sensor networks Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/abf4bd6a922f4216aa76fda2e8779782
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id	oai:doaj.org-article:abf4bd6a922f4216aa76fda2e8779782
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spelling	oai:doaj.org-article:abf4bd6a922f4216aa76fda2e87797822021-11-25T18:57:55ZDynamic Bargain Game Theory in the Internet of Things for Data Trustworthiness10.3390/s212276111424-8220https://doaj.org/article/abf4bd6a922f4216aa76fda2e87797822021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7611https://doaj.org/toc/1424-8220Smart home and smart building systems based on the Internet of Things (IoT) in smart cities currently suffer from security issues. In particular, data trustworthiness and efficiency are two major concerns in Internet of Things (IoT)-based Wireless Sensor Networks (WSN). Various approaches, such as routing methods, intrusion detection, and path selection, have been applied to improve the security and efficiency of real-time networks. Path selection and malicious node discovery provide better solutions in terms of security and efficiency. This study proposed the Dynamic Bargaining Game (DBG) method for node selection and data transfer, to increase the data trustworthiness and efficiency. The data trustworthiness and efficiency are considered in the Pareto optimal solution to select the node, and the bargaining method assigns the disagreement measure to the nodes to eliminate the malicious nodes from the node selection. The DBG method performs the search process in a distributed manner that helps to find an effective solution for the dynamic networks. In this study, the data trustworthiness was measured based on the node used for data transmission and throughput was measured to analyze the efficiency. An SF attack was simulated in the network and the packet delivery ratio was measured to test the resilience of the DBG and existing methods. The results of the packet delivery ratio showed that the DBG method has higher resilience than the existing methods in a dynamic network. Moreover, for 100 nodes, the DBG method has higher data trustworthiness of 98% and throughput of 398 Mbps, whereas the existing fuzzy cross entropy method has data trustworthiness of 94% and a throughput of 334 Mbps.Appasamy C. SumathiMuthuramalingam AkilaRocío Pérez de PradoMarcin WozniakParameshachari Bidare DivakarachariMDPI AGarticledata trustworthinessdynamic bargaining gameinternet of thingssmart homespacket delivery ratiowireless sensor networksChemical technologyTP1-1185ENSensors, Vol 21, Iss 7611, p 7611 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	data trustworthiness dynamic bargaining game internet of things smart homes packet delivery ratio wireless sensor networks Chemical technology TP1-1185
spellingShingle	data trustworthiness dynamic bargaining game internet of things smart homes packet delivery ratio wireless sensor networks Chemical technology TP1-1185 Appasamy C. Sumathi Muthuramalingam Akila Rocío Pérez de Prado Marcin Wozniak Parameshachari Bidare Divakarachari Dynamic Bargain Game Theory in the Internet of Things for Data Trustworthiness
description	Smart home and smart building systems based on the Internet of Things (IoT) in smart cities currently suffer from security issues. In particular, data trustworthiness and efficiency are two major concerns in Internet of Things (IoT)-based Wireless Sensor Networks (WSN). Various approaches, such as routing methods, intrusion detection, and path selection, have been applied to improve the security and efficiency of real-time networks. Path selection and malicious node discovery provide better solutions in terms of security and efficiency. This study proposed the Dynamic Bargaining Game (DBG) method for node selection and data transfer, to increase the data trustworthiness and efficiency. The data trustworthiness and efficiency are considered in the Pareto optimal solution to select the node, and the bargaining method assigns the disagreement measure to the nodes to eliminate the malicious nodes from the node selection. The DBG method performs the search process in a distributed manner that helps to find an effective solution for the dynamic networks. In this study, the data trustworthiness was measured based on the node used for data transmission and throughput was measured to analyze the efficiency. An SF attack was simulated in the network and the packet delivery ratio was measured to test the resilience of the DBG and existing methods. The results of the packet delivery ratio showed that the DBG method has higher resilience than the existing methods in a dynamic network. Moreover, for 100 nodes, the DBG method has higher data trustworthiness of 98% and throughput of 398 Mbps, whereas the existing fuzzy cross entropy method has data trustworthiness of 94% and a throughput of 334 Mbps.
format	article
author	Appasamy C. Sumathi Muthuramalingam Akila Rocío Pérez de Prado Marcin Wozniak Parameshachari Bidare Divakarachari
author_facet	Appasamy C. Sumathi Muthuramalingam Akila Rocío Pérez de Prado Marcin Wozniak Parameshachari Bidare Divakarachari
author_sort	Appasamy C. Sumathi
title	Dynamic Bargain Game Theory in the Internet of Things for Data Trustworthiness
title_short	Dynamic Bargain Game Theory in the Internet of Things for Data Trustworthiness
title_full	Dynamic Bargain Game Theory in the Internet of Things for Data Trustworthiness
title_fullStr	Dynamic Bargain Game Theory in the Internet of Things for Data Trustworthiness
title_full_unstemmed	Dynamic Bargain Game Theory in the Internet of Things for Data Trustworthiness
title_sort	dynamic bargain game theory in the internet of things for data trustworthiness
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/abf4bd6a922f4216aa76fda2e8779782
work_keys_str_mv	AT appasamycsumathi dynamicbargaingametheoryintheinternetofthingsfordatatrustworthiness AT muthuramalingamakila dynamicbargaingametheoryintheinternetofthingsfordatatrustworthiness AT rocioperezdeprado dynamicbargaingametheoryintheinternetofthingsfordatatrustworthiness AT marcinwozniak dynamicbargaingametheoryintheinternetofthingsfordatatrustworthiness AT parameshacharibidaredivakarachari dynamicbargaingametheoryintheinternetofthingsfordatatrustworthiness
_version_	1718410482374672384

Dynamic Bargain Game Theory in the Internet of Things for Data Trustworthiness

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