Robust Decentralised Trust Management for the Internet of Things by Using Game Theory

2020 ◽  
Vol 57 (6) ◽  
pp. 102308 ◽  
Author(s):  
Christian Esposito ◽  
Oscar Tamburis ◽  
Xin Su ◽  
Chang Choi
Author(s):  
Dr. Wang Haoxiang

The Internet of things is the basic paradigm with the cluster of techniques that ensure innovations in the service rendered in various applications. It aims to develop a seamless connection between the tangible objects around and the information network in turn to provide a well-structured servicing to its users. Though the IOT service seems to be promising, the risks still prevail in the form of privacy and the security in user acceptance in utilizing the internet of things services, and its application. This makes the trust management very important for the internet of things. So the paper puts forth the distributed block chain involved trust system to manage the conveyance infrastructures of the internet of things paradigm. The evaluation of the proposed model evinces the enhanced security provided for the nodes of the IOT as well as its information exchange.


2013 ◽  
Vol 401-403 ◽  
pp. 1792-1795 ◽  
Author(s):  
Tao Liu ◽  
Ya Wen Guan ◽  
Yi Qun Yan ◽  
Li Liu ◽  
Qi Chao Deng

Aimed to the security and privacy issues which restrict the construction and development of the Internet of Things, a WSN-oriented key agreement protocol in the Internet of Things ( IOT) has been proposed . Trust management was introduced the security mechanism of IOT, the use of bilinear pairing technology, the identity-based key agreement was realized. Using the protocol not only can effectively prevent attacks from outside the network and can recognize the abnormal nodes which were captured or lapsed efficacy. Thus it can reduce communication with abnormal nodes to improve network security, extending the lifetime of the network. The distributed self-organizing key negotiation process without credible third-party management can enhance the survivability of IOT, and the network has a good scalability.


Computing ◽  
2018 ◽  
Vol 101 (7) ◽  
pp. 791-818 ◽  
Author(s):  
Mohammad Dahman Alshehri ◽  
Farookh Khadeer Hussain

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