A trust evaluation system based on reputation data in Mobile edge computing network

In recent days, Mobile Edge Computing (MEC) emerges as a new computing paradigm that pushes computing resources towards the edge of the Internet and close to end users and more scholars begin to carry out their different kinds of research under the framework of edge computing. Unlike cloud computing...

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Bibliographic Details
Published in:Peer-to-peer networking and applications 2020-09, Vol.13 (5), p.1744-1755
Main Authors: Deng, Xiaoheng, Liu, Jin, Wang, Leilei, Zhao, Zhihui
Format: Article
Language:English
Subjects:
Cloud computing
Communications Engineering
Computer Communication Networks
Data management
Edge computing
End users
Engineering
Information Systems and Communication Service
Mobile computing
Networks
Nodes
Reputations
Signal,Image and Speech Processing
Special Issue on Emerging Trends on Data Analytics at the Network Edge
Trustworthiness
Wireless networks
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Summary:In recent days, Mobile Edge Computing (MEC) emerges as a new computing paradigm that pushes computing resources towards the edge of the Internet and close to end users and more scholars begin to carry out their different kinds of research under the framework of edge computing. Unlike cloud computing however, edge computing often lacks a centralized security mechanism, which increases the security risks of resource consumers. Therefore, to address security issues for facilitating MEC well, we focus on the establishment of an effective trust evaluation system in this paper. We presented a Reputation-based Trust Evaluation and Management (RTEM) system for a secure and efficient MEC network, wherein the edge servers are adopted to execute reputation data management for mobile edge nodes. In this system, a three-tier trust evaluation framework (identity trust, capability trust, behavior trust) was proposed to ensure the edge nodes that join the network system for service interaction are qualified, capable, and reliable. In order to update and calculate reputation data more accurately, we designed a reputation-based trust evaluation model and evaluated the effectiveness and robustness of our designed model on the OMNeT++ platform. The results show that our proposed mechanism can increase the transaction success rate of the edge network by more than two times compared with the network without trust evaluation mechanism, and perform better than the traditional subject logic (TSL) trust evalaution mechanism.
ISSN:1936-6442
1936-6450
DOI:10.1007/s12083-020-00889-3