传感云中的信任评价机制研究进展

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

Abstract

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

CLC Number:

TP393

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.

Figures/Tables 13

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

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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

Survey on trust evaluation mechanism in sensor-cloud

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