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

Sumathi, A.; Muthuramalingam, Akila; Prado, Rocío Pérez de; Woźniak, Marcin; Parameshachari, B. D.

doi:10.3390/s21227611

Cited by 50 publications

(2 citation statements)

References 38 publications

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“…The concept of the Internet of Things first appeared in the 1990s, and its emergence was produced under the joint action of current Internet technology, network information technology, and logistics monitoring systems [ 13 – 15 ]. In the Internet of Things system, the tracking of related products is realized through the corresponding information transmission and positioning system.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Supervision for Supply Chain Finance and Logistics Based on Internet of Things

Bai

Liu

Wang

2022

Computational Intelligence and Neuroscience

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Supply chain finance and logistics activities are developing rapidly. In the economic activities of the tripartite cooperation between financial institutions, logistics enterprises, and loan enterprises, the goods will enter the logistics and supervision links of pledged goods immediately after they are postponed. It is proposed to integrate computer network communication technologies such as the Internet of Things with supply chain finance and logistics supervision to strengthen the information interaction between suppliers, which is widely used in supply chain activities to help realize the Internet finance. An intelligent supply chain supervision can implement monitoring and early warning of the time of the pledged goods in the warehouse, in transit, and during processing. Therefore, this paper proposes an intelligent supply chain supervision model by integrating supply chain finance, logistics, and pledge finance models into an operation management platform to better promote the smooth progress of supply chain finance and logistics supervision activities, which can effectively reduce various external risks, improve operational efficiency, and provide reference for supply chain finance and logistics activities.

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Section: Introductionmentioning

confidence: 99%

An Intelligent Supervision for Supply Chain Finance and Logistics Based on Internet of Things

Bai

Liu

Wang

2022

Computational Intelligence and Neuroscience

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“…The proposed method calculates trust based on only the packet transmission nature of the Node. In the Dynamic Bargain Theory metholdogy proposed by Sumathi (10) , trustworthiness of data is calculated based on nodes' trustworthiness, whereas the latter is calculated using only the direct behaviour of the node. Here the drawback is that neighbor observations and other parameters are not considered for evaluating the node's trustworthiness.…”

Section: Introductionmentioning

confidence: 99%

A Novel Trust Adaptability Approach for Secure Data Transmissions using Enhanced Collaborative Nodes Trustworthiness in Mobile Ad-hoc Networks

Reddy¹,

Srinivas²,

Mohan³

2022

IJST

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Objectives: To find an efficient security routing model based on trust adaptability by considering various transmission parameters that influence the node's behavior. Methods: Enhanced Collaborative Trust Based Approach (ECTBA) was applied to isolate the malicious nodes from routing by computing their enhanced collaborative trust value based on the node's behavior using transmission parameters. Parameters that influence the node's behavior like the number of data packets and control packets forwarded, dropped, or misrouted by the node are quantified to compute direct trust value and neighbor reputation. Node's Enhanced Collaborative trust value was generated by the combination of direct and neighbor observations. Findings: The proposed strategy is compared with several cases like the Direct Trust Based Approach (DTBA), where routing involves trustworthy nodes categorized based on only direct trust, existing methods like Belief-dependent trust evolution method(BETM), Novel extended trust-dependent method (NETM) where routing is done with nodes that are categorized as trustworthy depending on direct and indirect observations and simple AODV routing performed with all the possible random nodes without any trust detection. The performance parameters of the proposed ECTBA exhibit a success rate of 10.2% in false positives detection (FPD),network throughput of 438.12 Kbps,and packet delivery ratio (PDR) of 92.3%.This method proves to be a better method when compared with the traditional trust-based security methods(BETM and NETM) in terms of efficiency. Novelty: This research suggested a novel and fine-tuned method for quantifying a node's trustworthiness and for secure routing that coupled the direct and indirect observations into enhanced collaborative trust https://www.indjst.org/

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Evaluation and Analysis of Reversible Watermarking Techniques in WSN for Secure, Lightweight Design of IoT Applications: A Survey

Araghi

Megías

Rosales

2023

Lecture Notes in Networks and Systems

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

Cited by 50 publications

References 38 publications

An Intelligent Supervision for Supply Chain Finance and Logistics Based on Internet of Things

An Intelligent Supervision for Supply Chain Finance and Logistics Based on Internet of Things

A Novel Trust Adaptability Approach for Secure Data Transmissions using Enhanced Collaborative Nodes Trustworthiness in Mobile Ad-hoc Networks

Evaluation and Analysis of Reversible Watermarking Techniques in WSN for Secure, Lightweight Design of IoT Applications: A Survey

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