BeTrust: A Dynamic Trust Model Based on Bayesian Inference and Tsallis Entropy for Medical Sensor Networks
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
With the rapid development and application of medical sensor networks, the security has become a big challenge to be resolved.
Trust mechanism as a method of “soft security” has been proposed to guarantee the network security.
Trust models to compute the trustworthiness of single node and each path are constructed, respectively, in this paper.
For the trust relationship between nodes, trust value in every interval is quantified based on Bayesian inference.
A node estimates the parameters of prior distribution by using the collected recommendation information and obtains the posterior distribution combined with direct interactions.
Further, the weights of trust values are allocated through using the ordered weighted vector twice and overall trust degree is represented.
With the associated properties of Tsallis entropy, the definition of path Tsallis entropy is put forward, which can comprehensively measure the uncertainty of each path.
Then a method to calculate the credibility of each path is derived.
The simulation results show that the proposed models can correctly reflect the dynamic of node behavior, quickly identify the malicious attacks, and effectively avoid such path containing low-trust nodes so as to enhance the robustness.
American Psychological Association (APA)
Gao, Yan& Liu, Wenfen. 2014. BeTrust: A Dynamic Trust Model Based on Bayesian Inference and Tsallis Entropy for Medical Sensor Networks. Journal of Sensors،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1042968
Modern Language Association (MLA)
Gao, Yan& Liu, Wenfen. BeTrust: A Dynamic Trust Model Based on Bayesian Inference and Tsallis Entropy for Medical Sensor Networks. Journal of Sensors No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1042968
American Medical Association (AMA)
Gao, Yan& Liu, Wenfen. BeTrust: A Dynamic Trust Model Based on Bayesian Inference and Tsallis Entropy for Medical Sensor Networks. Journal of Sensors. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1042968
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042968