A trust evaluation system based on reputation data in Mobile edge computing network
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A trust evaluation system based on reputation data in Mobile edge computing network Xiaoheng Deng 1
&
Jin Liu 1 & Leilei Wang 1 & Zhihui Zhao 1
Received: 1 September 2019 / Accepted: 12 February 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract 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. Keywords Mobile edge computing . Trust evaluation system . Reputation data . Credibility
1 Introduction Mobile Edge Computing (MEC) has quickly become a promising paradigm to meet the ever-increasing data-processing demands imposed by emerging applications, by shifting computations to network edge. In the mobile edge computing [1,
This article is part of the Topical Collection: Special Issue on Emerging Trends on Data Analytics at the Network Edge Guest Editors: Deyu Zhang, Geyong Min, and Mianxiong Dong * Xiaoheng Deng [email protected] Jin Liu [email protected] Leilei Wang [email protected] Zhihui Zhao [email protected] 1
School of Computer Science and Engineering, Central South University, Changsha 410083, China
2] environment, the edge server and a large number of mobile edge devices which are highly dynamic and heterogeneous get involved in resource sharing and data transmission, etc. [3]. Recently, more and more scholars begin to carry out a series of research under the framework of edge computing, such as task allocation and offloading [4–6], video recommendation based on user data [7], service framework design [8, 9], etc. Unlike cloud computing however, edge computing often lacks a centralized security mechanismas the number of
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