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

Abstract

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

CLC Number:

TN918

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.

Figures/Tables 5

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

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	${PID}_{3}^{f}$
…	…	…	…	…

References 8

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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

A lightweight privacy-preserving truth discovery mechanism for IoT

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