Multi-layer cloud architectural model and ontology-based security service framework for IoT-based smart homes

被引:136
|
作者
Tao, Ming [1 ]
Zuo, Jinglong [2 ]
Liu, Zhusong [3 ]
Castiglione, Aniello [4 ]
Palmieri, Francesco [4 ]
机构
[1] Dongguan Univ Technol, Sch Comp Sci & Network Secur, Dongguan, Peoples R China
[2] Guangdong Univ Petrochem Technol, Coll Comp & Elect Informat, Maoming, Peoples R China
[3] Guangdong Univ Technol, Sch Comp Sci & Technol, Guangzhou, Guangdong, Peoples R China
[4] Univ Salerno, Dept Comp Sci, Via Giovanni Paolo 2, I-84084 Fisciano, SA, Italy
关键词
Smart home; Heterogeneity; IoT; Cloud; Ontology; Security; ENERGY MANAGEMENT-SYSTEM; NETWORK;
D O I
10.1016/j.future.2016.11.011
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The Smart Home concept, associated with the pervasiveness of network coverage and embedded computing technologies is assuming an ever-growing significance for people living in the highly developed areas. However, the heterogeneity of devices, services, communication protocols, standards and data formats involved in most of the available solutions developed by different vendors, is adversely affecting its widespread application. In this paper, promoted by several promising opportunities provided by the advances in Internet of Things (IoT) and Cloud Computing technologies for facing these challenges, a novel multi-layer cloud architectural model is developed to enable effective and seamless interactions/interoperations on heterogeneous devices/services provided by different vendors in IoT-based smart home. In addition, to better solve the heterogeneity issues in the presented layered cloud platform, ontology has been used as a promising way to address data representation, knowledge, and application heterogeneity, and an ontology-based security service framework is designed for supporting security and privacy preservation in the process of interactions/interoperations. Challenges and directions for future work on smart home management have been also discussed at the end of this paper. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:1040 / 1051
页数:12
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