A Secure Connectivity Model for Internet of Things Analytics Service Delivery

被引：1

作者：

Al-Aqrabi, Hussain ^{[1
]}

Hill, Richard ^{[1
]}

机构：

[1] Univ Huddersfield, Ctr Ind Analyt, Sch Comp & Engn, Huddersfield, W Yorkshire, England

来源：

2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI) | 2018年

关键词：

Cloud computing; distributed systems; security; authentication; trust; multiparty; Internet of Things;

D O I：

10.1109/SmartWorld.2018.00038

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Wide scale interest and adoption of Internet of Things (IoT) technologies is fuelling innovation in the way individuals and even machines can interact to exchange knowledge. One area of particular interest is that of analytics. Ever-decreasing form factor hardware is enabling computation and data storage to be embedded into many different devices. The combination of network connectivity and emerging distributed models of service orchestration is allowing the creation of new ways of measuring, monitoring and analysing performance. Using an approach inspired by the NIST seven layer model of cloud computing, we propose a model of connectivity that enables analytics services to be consumed across individual system components that are distributed, such as those found in the IoT and Industrial IoT (IIoT) domains.

引用

页码：9 / 16

页数：8

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