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Journal ArticleDOI

An Authenticated Trust and Reputation Calculation and Management System for Cloud and Sensor Networks Integration

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TLDR
This paper proposes a novel authenticated trust and reputation calculation and management (ATRCM) system for CC-WSN integration and demonstrates the effectiveness of ATRCM with detailed analysis and design as well as further functionality evaluation results.
Abstract
Induced by incorporating the powerful data storage and data processing abilities of cloud computing (CC) as well as ubiquitous data gathering capability of wireless sensor networks (WSNs), CC-WSN integration received a lot of attention from both academia and industry. However, authentication as well as trust and reputation calculation and management of cloud service providers (CSPs) and sensor network providers (SNPs) are two very critical and barely explored issues for this new paradigm. To fill the gap, this paper proposes a novel authenticated trust and reputation calculation and management (ATRCM) system for CC-WSN integration. Considering the authenticity of CSP and SNP, the attribute requirement of cloud service user (CSU) and CSP, the cost, trust, and reputation of the service of CSP and SNP, the proposed ATRCM system achieves the following three functions: 1) authenticating CSP and SNP to avoid malicious impersonation attacks; 2) calculating and managing trust and reputation regarding the service of CSP and SNP; and 3) helping CSU choose desirable CSP and assisting CSP in selecting appropriate SNP. Detailed analysis and design as well as further functionality evaluation results are presented to demonstrate the effectiveness of ATRCM, followed with system security analysis.

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Citations
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Green Internet of Things for Smart World

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Trust-Based Communication for the Industrial Internet of Things

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A novel trust mechanism based on Fog Computing in Sensor–Cloud System

TL;DR: The experimental results indicate that this fog-based hierarchical structure performs well in saving network energy, detecting malicious nodes rapidly and recovering misjudgment nodes in an acceptable delay and the reliability of edge nodes is well guaranteed by data analyses in the fog layer.
References
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Journal ArticleDOI

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TL;DR: A survey of cloud computing is presented, highlighting its key concepts, architectural principles, state-of-the-art implementation as well as research challenges to provide a better understanding of the design challenges of cloud Computing and identify important research directions in this increasingly important area.
Proceedings Article

The Beta Reputation System

TL;DR: A new reputation system based on using beta probability density functions to combine feedback and derive reputation ratings is described which is flexibility and simplicity as well as its foundation on the theory of statistics.
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