拥挤感测
计算机科学
匹配(统计)
加密
计算机安全
方案(数学)
过程(计算)
不经意传输
服务(商务)
基于位置的服务
互联网隐私
计算机网络
密码学
业务
操作系统
营销
数学分析
统计
数学
作者
Xiaodong Zheng,Lei Zhang,Bo Wang,Qi Yuan,Guangsheng Feng
标识
DOI:10.1142/s0218126624500300
摘要
As a special type of location-based service (LBS), crowdsensing becomes more prosperous in people’s daily life. However, during the process of task distribution, the publisher’s and workers’ locations will be revealed to each other, and then their personal privacy is violated. So in this paper, in order to cope with the violation of location privacy in crowdsensing and provide privacy preservation service for both entities, an active oblivious transfer-based location privacy preservation crowdsensing scheme (short for AOTC) has been proposed. In this scheme, the oblivious transfer is used to encrypt the range of sensing grid of workers, and then matching sensing grids with the sensing region of the publisher without decryption. During the whole process, the process of location matching and results sending is disposed of by the entity of workers actively, so does not establish any data aggregation that can be used as the point of attack. As a result, the AOTC can guarantee the personal privacy of both entities in crowdsensing cannot be obtained by each other, and guarantee other workers also difficult to obtain the precise location of any workers. In addition, as workers send the sensing result to the publisher actively this scheme can also increase the probability of workers’ participation potentially. At last, the theoretical privacy preservation ability of AOTC is analyzed in the section on security analysis with three types of privacy threats. Then the performance of AOTC is compared with other similar schemes in both privacy preservation and execution efficiency, so in simulation experiments, comparison results with brief analyses will confirm that the AOTC has achieved the desired effect and will further demonstrate the superiority.
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