基于雾计算的可信传感云研究进展

doi:10.11959/j.issn.1000-436x.2019068

通信学报 ›› 2019, Vol. 40 ›› Issue (3): 170-181.doi: 10.11959/j.issn.1000-436x.2019068

基于雾计算的可信传感云研究进展

王田^1,²,沈雪微¹,罗皓¹,陈柏生¹,王国军³,贾维嘉^2,⁴

¹ 华侨大学计算机科学与技术学院，福建厦门 361021
² 澳门大学智能城市物联网国家重点实验室，澳门 999078
³ 广州大学计算机科学与教育软件学院，广东广州 510006
⁴ 上海交通大学电子信息与电气工程学院，上海 220240

修回日期:2019-01-21 出版日期:2019-03-01 发布日期:2019-04-04
作者简介:王田（1982- ），男，湖南汨罗人，博士，华侨大学教授，主要研究方向为物联网及其安全问题、云计算技术、社交网络、软件安全、大数据处理等。|沈雪微（1994- ），女，河南新乡人，华侨大学硕士生，主要研究方向为雾计算、传感云、物联网及其安全问题等。|罗皓（1994- ），男，广东惠州人，华侨大学硕士生，主要研究方向为雾计算、传感云、物联网及其安全问题等。|陈柏生（1980- ），男，湖南蓝山人，华侨大学讲师，主要研究方向为云计算技术。|陈柏生（1980- ），男，湖南蓝山人，华侨大学讲师，主要研究方向为云计算技术。|贾维嘉（1957- ），男，中国香港人，博士，上海交通大学教授、博士生导师，主要研究方向为下一代无线通信、协议、异构网络等。
基金资助:
福建省社会科学规划基金资助项目(FJ2018B038);福建省自然科学基金资助项目(2018J01092);福建省教育厅中青年教师教育科研基金资助项目(JAT170040)

Research progress of trusted sensor-cloud based on fog computing

Tian WANG^1,²,Xuewei SHEN¹,Hao LUO¹,Baisheng CHEN¹,Guojun WANG³,Weijia JIA^2,⁴

¹ College of Computer Science and Technology,Huaqiao University,Xiamen 361021,China
² The State Key Laboratory of Internet of Things for Smart City,University of Macau,Macao 999078,China
³ School of Computer Science and Educational Software,Guangzhou 510006,China
⁴ School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China

Revised:2019-01-21 Online:2019-03-01 Published:2019-04-04
Supported by:
The General Projects of Social Sciences of Fujian Province(FJ2018B038);The Natural Science Foundation of Fujian Province(2018J01092);The Fujian Education and Research Project for Junior Teachers(JAT170040)

摘要/Abstract

摘要：

云计算技术与无线传感器网络结合所产生的传感云（sensor-cloud）系统已经逐渐成为研究的热点。传感云在云计算平台的支撑下扩展了传统传感网的服务能力。对目前主流传感云系统进行了充分调研，总结了传感云系统的特点和发展规律，发现系统中存在的可信问题将直接影响到上层数据保护和应用；揭示了已有方案难以提供可信传感云服务是因为底层无线传感网能量不足、计算能力弱、易故障等，以及云计算模式缺乏对底层传感器节点和数据的直接管理等；构建了基于雾计算模式的可信传感云实现框架，设计了可信评估、可信数据收集、可信存储等关键技术，也为后续研究提出可供借鉴的新思路。

关键词: 传感云, 无线传感网, 可信云计算, 雾计算

Abstract:

The sensor-cloud is combined with cloud computing and wireless sensor networks,which extends the service ability of WSN by the support of cloud computing.It is one of the hot topics among the current researches.After comparing and surveying the mainstream system adequately,the characteristics and development of sensor-Cloud were summed up.Then,the direct influence of existing trust issues in the system for data protection and application on upper layer were found.The announced reasons explained that existing schemes were difficult to provide trusted sensor-cloud services.This was because that the capabilities of the underlying WSN nodes were too weak,and cloud computing model lacked the direct management of underlying nodes and data and so on.The trusted structures based on fog computing were given,and the key technologies of trusted evaluation,trusted data collection,and trusted storage were designed.Finally,the discussion pointed out new views for the researches in trusted sensor-cloud.

Key words: sensor-cloud, WSN, trusted cloud computing, fog computing

中图分类号:

TP393

王田,沈雪微,罗皓,陈柏生,王国军,贾维嘉. 基于雾计算的可信传感云研究进展[J]. 通信学报, 2019, 40(3): 170-181.

Tian WANG,Xuewei SHEN,Hao LUO,Baisheng CHEN,Guojun WANG,Weijia JIA. Research progress of trusted sensor-cloud based on fog computing[J]. Journal on Communications, 2019, 40(3): 170-181.

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网络	与云的结合	服务	主要贡献
WSN	CC-WSN ^[11]CoS^④12]	XaaS^⑤应用	数据源实时处理是做出决策的关键，传感云可提供分析、监控、存储、计算等多种类型的数据服务
WBAN^①	WBAN-cloud[13]	移动传感应用/多途径数据传递	医疗领域的传感云应用着重考虑安全与隐私问题，提供隐私与可信兼容的方式实现远程服务是必要的
WSAN^②	sensor-cloud^[14]	SaaS应用	传感云并不会将传感器数据作为一种服务来提供，而是专注于通过云来管理传感器
IOT^③	CloudIoT ^[15]CoT ^[16]	IoTaaS^⑥应用	用户能够在不关心传感器的物理位置和访问规则的情况下，从不同的传感器所有者处获得服务

方案	应用类别			可信方式
方案	数据收集	数据处理	通信	可信方式
CHMS^[13]	√	×	√	信息聚合
TASC^[14]	×	×	√	快速误差检测与定位
网络虚拟^[18]	×	√	×	云内与云间调度
基于雾计算的数据传输^[19]	√	√	×	多方式数据传递
WSN-MCC^[20]	×	×	√	WSN-MCC集成方案
多通信信息传播^[23]	×	√	√	数据聚合与卸载

方案	信任机制	传输安全	存储安全	攻击类别	对象
多用户泄露预防^[25]	√	×	×	内部	云计算/传感网
基于雾计算的入侵检测^[26]	×	×	√	外部	云计算/传感网/雾计算
传感云系统信息流保护^[27]	×	√	√	内部	云计算
基于冗余雾端环路的无线传感器网络^[28]	×	×	×	外部	云计算
基于雾计算的身份验证^[29]	√	√	×	内部	云计算/传感网/雾计算
基于雾计算的车载网安全控制^[30]	√	√	√	内部/外部	云计算/传感网/雾计算

方案	可信	特征	优势	缺陷	说明
分级存储方案^[36]	√	存储技术	编码速度快，完整性高	涉及传递机制，灵活性相对弱	完善传统云存储技术，对抗网络威胁，实现系统可信
大数据环境下健康检测^[37]	×	大数据	准确性高	时间性能相对弱	针对基础设施实现健康监测
传感云系统数据监控^[38]	×	结构化	灵活性高	响应速度不足	与传感云相结合的健康监测
基于雾计算的节点信任评价^[39]	√	信任评价	安全性高	间接完整度不足	雾端设定信任评价层次结构，完善数据可信度
基于雾计算模式的数据收集^[40]	√	数据收集	安全可靠	灵活性相对弱	利用雾端的计算能力辅助传感云进行可靠的数据收集

基于雾计算的可信传感云研究进展

Research progress of trusted sensor-cloud based on fog computing

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