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Trust Management Model based on Fuzzy Approach for Ubiquitous Computing

Trust Management Model based on Fuzzy Approach for Ubiquitous Computing

Nalini A. Mhetre, Arvind V. Deshpande, Parikshit Narendra Mahalle
Copyright: © 2016 |Volume: 7 |Issue: 2 |Pages: 14
ISSN: 1941-6237|EISSN: 1941-6245|EISBN13: 9781466690172|DOI: 10.4018/IJACI.2016070102
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MLA

Mhetre, Nalini A., et al. "Trust Management Model based on Fuzzy Approach for Ubiquitous Computing." IJACI vol.7, no.2 2016: pp.33-46. http://doi.org/10.4018/IJACI.2016070102

APA

Mhetre, N. A., Deshpande, A. V., & Mahalle, P. N. (2016). Trust Management Model based on Fuzzy Approach for Ubiquitous Computing. International Journal of Ambient Computing and Intelligence (IJACI), 7(2), 33-46. http://doi.org/10.4018/IJACI.2016070102

Chicago

Mhetre, Nalini A., Arvind V. Deshpande, and Parikshit Narendra Mahalle. "Trust Management Model based on Fuzzy Approach for Ubiquitous Computing," International Journal of Ambient Computing and Intelligence (IJACI) 7, no.2: 33-46. http://doi.org/10.4018/IJACI.2016070102

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Abstract

The current state of ubiquitous computing has been greatly influenced by emerging networking developments like Internet of Things (IoT), Future Internet etc. Adequate trust management is crucial to provide security. The entities involved in communication must be trusted for specific purposes depending on their role. Using trust model, devices can run trust computations and guide their behaviors. To this effect, a method is needed to evaluate the level of trust between devices. Trust models investigated so far discusses that devices face problems when communicating as transforming trust relationships from real to virtual world requires the negotiation of trust based on the security properties of devices. However, these models are developed in limited devices. This paper proposes a distributed trust model for device-to-device communication in ubiquitous computing. Mathematical model based on fuzzy rules to establish trust is presented. Fuzzy simulation of the model is presented to validate the findings. Simulation results show that proposed model calculates fuzzy trust values reliably.

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