面向物联网轻量级隐私保护的真值发现机制

doi:10.11959/j.issn.1000-0801.2021100

电信科学 ›› 2021, Vol. 37 ›› Issue (5): 124-132.doi: 10.11959/j.issn.1000-0801.2021100

面向物联网轻量级隐私保护的真值发现机制

何英杰, 李启伟, 孙涵, 郜迪, 董剑峰, 杨书华

中国电子科技集团公司第二十二研究所，河南新乡 453000

修回日期:2021-05-10 出版日期:2021-05-20 发布日期:2021-05-01
作者简介:何英杰（1987− ），男，中国电子科技集团公司第二十二研究所高级工程师，主要研究方向为物联网通信技术
李启伟（1985− ），男，中国电子科技集团公司第二十二研究所工程师，主要研究方向为通信技术和物联网通信技术
孙涵（1992− ），女，中国电子科技集团公司第二十二研究所工程师，主要研究方向为物联网
郜迪（1993− ），男，中国电子科技集团公司第二十二研究所工程师，主要研究方向为物联网嵌入式技术
董剑峰（1993− ），男，中国电子科技集团公司第二十二研究所工程师，主要研究方向为物联网通信技术
杨书华（1963− ），男，中国电子科技集团公司第二十二研究所研究员，主要研究方向为嵌入式系统和物联网技术

A lightweight privacy-preserving truth discovery mechanism for IoT

Yingjie HE, Qiwei LI, Han SUN, Di GAO, Jianfeng DONG, Shuhua YANG

The 22nd Research Institute of China Electronics Technology Group Corporation, Xinxiang 453000, China

Revised:2021-05-10 Online:2021-05-20 Published:2021-05-01

摘要/Abstract

摘要：

针对云雾融合物联网系统中感知数据的质量差异和隐私泄露问题，提出一种基于流加密模式的隐私保护真值发现机制。首先，云服务器将洗牌算法和流加密算法相结合，实现匿名更新真值；雾服务器匿名更新权重，防止恶意攻击者与云雾服务器的共谋攻击所造成的设备隐私泄露。其次，雾服务器基于 Softmax 函数计算设备权重，以减小计算真值的误差。最后，理论分析证明该机制能够保护设备隐私。实验结果表明，该机制误差率低，并在时间开销上优于已有方法，是一种适用于规模化物联网高效的真值发现机制。

关键词: 物联网, 轻量级, 隐私保护, 真值发现

Abstract:

In order to solve diverse quality and privacy leakage of perceived data in fog-cloud integrated internet of things (IoT), a streaming encryption-based privacy-preserving truth discovery mechanism for IoT was proposed.Firstly, by utilizing shuffling and streaming encryption algorithms, the ground truths and the weights were anonymously updated on the cloud server and fog server, respectively, so that the collusion attacks between malicious attackers and cloud or fog servers could be resisted to defend against privacy leakage of IoT devices.Secondly, by adopting the Softmax function, the device weights were calculated on fog server, which reduces the error rate for calculating the ground truths.Finally, the theoretical analysis proved that the mechanism could protect privacy of the devices.And, the experimental results demonstrate that the proposed mechanism is an effective privacy-preserving trust discovery mechanism for large-scale IoT devices, which can outperform existing ones in computing efficiency.

Key words: IoT, lightweight, privacy-preserving, truth discovery

中图分类号:

TN918

何英杰, 李启伟, 孙涵, 郜迪, 董剑峰, 杨书华. 面向物联网轻量级隐私保护的真值发现机制[J]. 电信科学, 2021, 37(5): 124-132.

Yingjie HE, Qiwei LI, Han SUN, Di GAO, Jianfeng DONG, Shuhua YANG. A lightweight privacy-preserving truth discovery mechanism for IoT[J]. Telecommunications Science, 2021, 37(5): 124-132.

图/表 5

图1

表1

符号说明"

符号名称	说明
t	时间戳
TA	可信服务器
L_T	权重列表
K	传输密钥集
$CS : {1, \dots, c_{i}}$	云服务器
$FS : {1, \dots, f_{i}}$	雾服务器
$DN : {1, \dots, d_{i}}$	设备节点
$O : {1, \dots, o_{i}}$	数据对象
$X_{O} : {x_{1}, \dots, x_{o_{i}}}$	数据对象的属性
$CT : {{ct}_{1}, \dots, {ct}_{i}}$	数据密文
$X_{O}^{} : {x_{1}^{}, \dots, x_{o_{i}}^{*}}$	数据真值
${CX}^{} : {{cx}_{1}^{}, \dots, {cx}_{o_{i}}^{*}}$	真值密文
$W_{t} : {w_{1}, \dots, w_{n}}$	设备可信权重

表1

表2

可信权重列表LT"

i	伪身份ID	签名公钥	可信权重	对应雾节点
1	${PID}_{1}^{d}$	$g^{s_{1}}$	w₁	${PID}_{1}^{f}$
2	${PID}_{2}^{d}$	$g^{s_{2}}$	w₂	${PID}_{2}^{f}$
3	${PID}_{3}^{d}$	$g^{s_{3}}$	w₃	${PID}_{3}^{f}$
…	…	…	…	…

表2

表3

图2

参考文献 8

[9]	钱亚冠, 关晓惠, 吴淑慧 ,等. 一种基于贪心算法的 SVM扰动攻击方法[J]. 电信科学, 2019,35(01): 81-89.
	QIAN Y G , GUAN X H , WU S H ,et al. A SVM disturbance attack method based on greedy algorithm[J]. Telecommunications Science, 2019,35(01): 81-89.
[10]	MIAO C L , JIANG W J , SU L ,et al. Cloud-enabled privacy-preserving truth discovery in crowd sensing systems[C]// Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems. New York:ACM Press, 2015: 183-196.
[11]	MARSHALL J , WANG D . Towards emotional-aware truth discovery in social sensing applications[C]// Proceedings of 2016 IEEE International Conference on Smart Computing (SMARTCOMP). Piscataway: IEEE Press, 2016: 1-8.
[12]	LI Z Q , YANG S , WU F ,et al. Holmes: tackling data sparsity for truth discovery in location-aware mobile crowdsensing[C]// Proceedings of 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). Piscataway: IEEE Press, 2018: 424-432.
[13]	XU G W , LI H W , LIU S ,et al. Efficient and privacy-preserving truth discovery in mobile crowd sensing systems[J]. IEEE Transactions on Vehicular Technology, 2019,68(4): 3854-3865.
[14]	TANG X T , WANG C , YUAN X L ,et al. Non-interactive privacy-preserving truth discovery in crowd sensing applications[C]// Proceedings of IEEE INFOCOM 2018 - IEEE Conference on Computer Communications. Piscataway: IEEE Press, 2018: 1988-1996.
[15]	MIAO C L , SU L , JIANG W J ,et al. A lightweight privacy-preserving truth discovery framework for mobile crowd sensing systems[C]// Proceedings of IEEE INFOCOM 2017 IEEE Conference on Computer Communications. Piscataway:IEEE Press, 2017: 1-9.
[16]	YANG Y , LIU X M , DENG R H ,et al. Lightweight sharable and traceable secure mobile health system[J]. IEEE Transactions on Dependable and Secure Computing, 2020,17(1): 78-91.
[17]	ZHANG C , ZHU L H , XU C ,et al. Reliable and privacy-preserving truth discovery for mobile crowdsensing systems[J]. IEEE Transactions on Dependable and Secure Computing, 2019(99): 1.
[1]	GAO X , LIU C C . The design of data service system in the IoT resource access and intelligent processing platform[C]// Proceedings of 2016 International Conference on Wireless Communication and Network Engineering (WCNE2016).[S.l.:s.n.], 2016: 393-396.
[2]	LEE J , HAN J , CHA J . A study on SSDP protocol based IoT /IoL device discovery algorithm for energy harvesting interworking smart home[J]. International Journal of Internet,Broadcasting and Communication :IJIBC, 2018(10).
[3]	CAO X , LI Y Q . Data collection and network architecture analysis in Internet of vehicles based on NB-IoT[C]// Proceedings of 2018 International Conference on Intelligent Transportation,Big Data ＆ Smart City (ICITBS). Piscataway: IEEE Press, 2018: 157-160.
[4]	TANG W J , REN J , DENG K ,et al. Secure data aggregation of lightweight E-healthcare IoT devices with fair incentives[J]. IEEE Internet of Things Journal, 2019,6(5): 8714-8726.
[5]	CHOI H S , RHEE W S . IoT-based user-driven service modeling environment for a smart space management system[J]. Sensors (Basel,Switzerland), 2014,14(11): 22039-22064.
[6]	KARKOUCH A , MOUSANNIF H , AL MOATASSIME H ,et al. Data quality in Internet of Things:a state-of-the-art survey[J]. Journal of Network and Computer Applications, 2016(73): 57-81.
[7]	DHINGRA S , MADDA R B , GANDOMI A H ,et al. Internet of Things mobile–air pollution monitoring system (IoT-mobair)[J]. IEEE Internet of Things Journal, 2019,6(3): 5577-5584.
[8]	谢丽霞, 魏瑞炘 . 一种面向物联网节点的综合信任度评估模型[J]. 西安电子科技大学学报, 2019,46(4): 58-65.
[18]	ZHI S , YANG F , ZHU Z Y ,et al. Dynamic truth discovery on numerical data[C]// Proceedings of 2018 IEEE International Conference on Data Mining (ICDM). Piscataway: IEEE Press, 2018: 817-826.
[8]	XIE L X , WEI R X . IoT Node trust comprehensive evaluation model[J]. Journal of Xidian University, 2019,46(4): 58-65.

方法	数据对象数目
方法	4	8	10
L-PPTD^[16]	0.125 s	0.2 s	0.275 s
L²-PPTD^[16]	0.175 s	0.275 s	0.350 s
EPTD^[13]	0.115 s	0.151 s	0.252 s
DPoR^[18]	0.360 s	0.378 s	0.390 s
IoT-LPTD	0.065 s	0.075 s	0.076 s

面向物联网轻量级隐私保护的真值发现机制

A lightweight privacy-preserving truth discovery mechanism for IoT

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