Trust-Based Service Management for Mobile Cloud IoT Systems

被引：72
|
作者：
Chen, Ing-Ray [1 ]
Guo, Jia [1 ]
Wang, Ding-Chau [2 ]
Tsai, Jeffrey J. P. [3 ]
Al-Hamadi, Hamid [4 ]
You, Ilsun [5 ]
机构：
[1] Virginia Tech, Dept Comp Sci, Falls Church, VA 22043 USA
[2] Southern Taiwan Univ Sci & Technol, Dept Informat Management, Tainan 71005, Taiwan
[3] Asia Univ, Dept Bioinformat & Biomed Engn, Taichung 41354, Taiwan
[4] Kuwait Univ, Dept Comp Sci, Kuwait 13060, Kuwait
[5] Soonchunhyang Univ, Dept Informat Secur Engn, Asan 31400, South Korea
来源：
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT | 2019年 / 16卷 / 01期
关键词：
Internet of Things; scalability; trust management; service management; mobile cloud computing; service composition; performance analysis; ADMISSION CONTROL; INTERNET; REPUTATION; NETWORKS; QOS;
D O I：
10.1109/TNSM.2018.2886379
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We propose and analyze a 3-tier cloud-cloudlet-device hierarchical trust-based service management protocol called IoT-HiTrust for large-scale mobile cloud Internet of Things (IoT) systems. Our mobile cloud hierarchical service management protocol allows an IoT customer to report its service experiences and query its subjective service trust score toward an IoT service provider following a scalable report-and-query design. We conduct a formal scalability analysis along with an ns-3 simulation performance analysis demonstrating that IoT-HiTrust not only achieves scalability without compromising accuracy, convergence, and resiliency properties against malicious attacks but also outperforms contemporary distributed and centralized IoT trust management protocols. We test the feasibility by applying IoT-HiTrust to two case studies: 1) a smart city travel service composition and binding application and 2) an air pollution detection and response application. The results demonstrate that IoT-HiTrust outperforms contemporary distributed and centralized trust-based IoT service management protocols in selecting trustworthy nodes to maximize application performance, while achieving scalability.
引用
收藏
页码：246 / 263
页数：18
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