An Efficient Privacy-Preserving Data Aggregation Scheme for IoT

被引:4
作者
Hu, Chunqiang [1 ,2 ]
Luo, Jin [1 ]
Pu, Yuwen [1 ]
Yu, Jiguo [3 ]
Zhao, Ruifeng [4 ]
Huang, Hongyu [5 ]
Xiang, Tao [2 ,5 ]
机构
[1] Chongqing Univ, Sch Big Data & Software Engn, Chongqing, Peoples R China
[2] Chongqing Univ, Key Lab Dependable Serv Comp Cyber Phys Soc, Minist Educ, Chongqing, Peoples R China
[3] Qufu Normal Univ, Sch Informat Sci & Engn, Jining, Peoples R China
[4] Guangdong Power Grid Co Ltd, Elect Power Dispatching & Control Ctr, Guangzhou, Peoples R China
[5] Chongqing Univ, Coll Comp Sci, Chongqing, Peoples R China
来源
WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS (WASA 2018) | 2018年 / 10874卷
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
SMART; SECURE;
D O I
10.1007/978-3-319-94268-1_14
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Internet of Things (IoT) provides the most flexibility and convenience in our various daily applications as the IoT devices can improve efficiency, accuracy and economic benefit in addition to reduced human intervention. However, security and privacy challenges are also arising in IoT. To address this challenge, in this paper, we present a privacy-preserving data aggregation scheme for IoT to preserve privacy of customers. In our scheme, the IoT devices slice their actual data, keep one piece to themselves, and send the remaining pieces to other group devices via symmetric key. Then each IoT device adds the received slices and the held piece together to get immediate result, which should be sent to the server after the computation. Finally, analysis shows that our scheme can guarantee the integrity, confidentiality of IoT device's data, and can resist external attack, internal attack and collusion attack and so on.
引用
收藏
页码:164 / 176
页数:13
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