传感云中的信任评价机制研究进展

doi:10.11959/j.issn.1000-436x.2018098

通信学报 ›› 2018, Vol. 39 ›› Issue (6): 37-51.doi: 10.11959/j.issn.1000-436x.2018098

传感云中的信任评价机制研究进展

王田¹(),张广学¹,蔡绍滨¹,贾维嘉^2,³,王国军⁴

¹ 华侨大学计算机科学与技术学院，福建厦门 361021
² 澳门大学数据科学中心，澳门 999078
³ 上海交通大学电子信息与电气工程学院，上海 200240
⁴ 广州大学计算机科学与教育软件学院，广东广州 510006

修回日期:2018-03-15 出版日期:2018-06-01 发布日期:2018-07-09
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。|张广学（1992-），男，河南开封人，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。|蔡绍滨（1973-），男，辽宁辽中人，博士，华侨大学教授、博士生导师，主要研究方向为物联网、海洋监测网络、网络计算、信息安全等。|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。|王国军（1970-），男，湖南长沙人，博士，广州大学教授、博士生导师，主要研究方向为网络和信息安全、物联网和云计算等。
基金资助:
国家重点基础研究发展计划（“973”计划）基金资助项目(2015CB352401);国家自然科学基金资助项目(61532013);国家自然科学基金资助项目(61632009);国家自然科学基金资助项目(61571150);国家自然科学基金资助项目(61772148);国家自然科学基金资助项目(61672441);上海交通大学985千人计划启动基金资助项目(WF220103001)

Survey on trust evaluation mechanism in sensor-cloud

Tian WANG¹(),Guangxue ZHANG¹,Shaobin CAI¹,Weijia JIA^2,³,Guojun WANG⁴

¹ College of Computer Science and Technology,Huaqiao University,Xiamen 361021,China
² Data Science Center,University of Macau,Macao 999078,China
³ School of Electronic Information and Electrical Engineering,Shanghai Jiaotong University,Shanghai 200240,China
⁴ School of Computer Science and Educational Software,Guangzhou University,Guangzhou 510006,China

Revised:2018-03-15 Online:2018-06-01 Published:2018-07-09
Supported by:
The National Basic Research Program of China (973 Program)(2015CB352401);The National Natural Sci-ence Foundation of China(61532013);The National Natural Sci-ence Foundation of China(61632009);The National Natural Sci-ence Foundation of China(61571150);The National Natural Sci-ence Foundation of China(61772148);The National Natural Sci-ence Foundation of China(61672441);985 Project of Shanghai Jiaotong University(WF220103001)

摘要/Abstract

摘要：

传感云系统逐渐发展为一个研究热点。好的信任评价机制能够解决这种新结构中存在的内部攻击等一些安全问题，并且能更好地保障该结构中信息的安全、高效传输。通过对传感云和信任评价机制进行广泛的调研，归纳出传感云的信任评价机制可分为实体间和实体内2类，对比现有信任评价机制的优点与不足，设计了基于雾计算模式的新型信任评价模型，探讨了未来的研究方向。

关键词: 传感云, 内部攻击, 信任评价机制, 雾计算

Abstract:

Sensor-cloud has gradually developed into a research hotspot.A good trust evaluation mechanism can better address some security issues in this new structure,such as internal attacks.A good trust evaluation mechanism can also ensure the security and efficient transmission of information in this structure.After an extensive research on sensor-cloud and trust evaluation mechanisms,it was found that trust evaluation mechanisms in sensor-cloud can be divided into two categories,among entities and in entity.After comparing the advantages and shortcomings of existing trust evaluation mechanisms,a new fog-based trust evaluation mechanism was designed and future research directions of trust evaluation mechanisms were discussed in sensor-cloud.

Key words: sensor-cloud, internal attack, trust evaluation mechanism, fog computing

中图分类号:

TP393

王田,张广学,蔡绍滨,贾维嘉,王国军. 传感云中的信任评价机制研究进展[J]. 通信学报, 2018, 39(6): 37-51.

Tian WANG,Guangxue ZHANG,Shaobin CAI,Weijia JIA,Guojun WANG. Survey on trust evaluation mechanism in sensor-cloud[J]. Journal on Communications, 2018, 39(6): 37-51.

图/表 13

表1

图1

表2

图2

图3

图4

表3

图5

表4

图6

图7

表5

雾层SNSP的信息记录"

大雾层	SNSP服务记录	SNSP需求服务种类	交往过的CSP	交往过的SNSP	突变风险	$\frac{认可次数}{推荐次数}$	入驻时间/月
SNSP₁	1异常8正常	可靠性、安全性	CSP₁/CSP₂/CSP₃	SNSP₁/SNSP₂/SNSP₃/SNSP₄	0.1	$\frac{56}{58}$	10
SNSP₂	0异常8正常	可靠性、安全性、带宽	CSP₂/CSP₃	SNSP₁/SNSP₃/SNSP₅	0.5	$\frac{46}{60}$	8
SNSP₃	0异常10正常	可靠性、安全性、兼容性	CSP₁/CSP₄/CSP₅	SNSP₁/SNSP₂/SNSP₃/SNSP₄/SNSP₅	0.1	$\frac{88}{52}$	15
SNSP₄	1异常1正常	可靠性、安全性、高性能	CSP₂	SNSP₁/SNSP₂/SNSP₄/SNSP₅	0.2	$\frac{26}{29}$	4
SNSP₅	0异常1正常	可靠性、安全性、平台资源	CSP₁	SNSP_3/SNSP₄/SNSP₅	0.1	$\frac{32}{33}$	1

表5

图8

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信任分类	说明	特征	优点	缺点
基于政策信任	对一些参数进行监测，并通过约定的规则进行信任计算	SLA/PLA、监控、审计、QoS	完整性高、安全性高	灵活性低、速度慢
基于推荐信任	综合多个服务使用者对服务提供者的认知，建立对服务提供者的信任	直接推荐、传递推荐	速度快、灵活性高	安全性低、完整性低
基于声誉信任	声誉是服务使用者对服务提供者长期行为的一个评价，将声誉用于服务提供者信任值的计算	推荐、信任反馈、声誉积聚	速度较快、灵活性较高	安全性一般、完整性一般
基于预测信任	服务使用者与陌生服务提供者之间信任关系的建立是基于预测信任的	相似实体、信任决策、信任预测	速度快、灵活性高	安全性一般、完整性低

原始表示	缩略词	意义
trust	T	信任
direct	D	直接信任
recommendation	R	推荐信任
indirect	I	间接信任
positive	P	积极行为
negative	N	消极行为
energy	E	能量
communication	C	通信

方式	作用域	计算复杂度	准确性	内存消耗
基于博弈论	普通节点	复杂	一般	小
基于模糊理论	普通节点	简单	一般	大
基于贝塔分布	普通节点	简单	一般	小
基于相似性	特殊节点	复杂	准确	大
基于主观逻辑	普通节点	一般	准确	小

参数	值
实验环境	Matlab R2016B
网络协议	阶梯扩散算法
WSN	3层（外层节点数增大）
簇内节点	60个
簇数量	6个
雾层分布式设备	（30+24）个

传感云中的信任评价机制研究进展

Survey on trust evaluation mechanism in sensor-cloud

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