Cooperative Privacy-Preserving Data Collection Protocol Based on Delocalized-Record Chains

IEEE Access

Mercedes Rodriguez-Garcia¹  Maria-Angeles Cifredo-Chacon²  Angel Quiros-Olozabal³ 

[1] Microelectronic Circuit Design Group, Escuela Superior de Ingeniería, Universidad de C&x00E1;diz, C&x00E1;diz, Spain;

关键词: Anonymous communication;    privacy;    k-anonymity;    Internet of Things;    privacy-preserving data collection;   

DOI  :  10.1109/ACCESS.2020.3028063

来源: DOAJ

【 摘 要 】

This paper aims to advance the field of data anonymization within the context of Internet of Things (IoT), an environment where data collected may contain sensitive information about users. Specifically, we propose a privacy-preserving data publishing alternative that extends the privacy requirement to the data collection phase. Because our proposal offers privacy-preserving conditions in both the data collecting and publishing, it is suitable for scenarios where a central node collects personal data supplied by a set of devices, typically associated with individuals, without these having to assume trust in the collector. In particular, to limit the risk of individuals' re-identification, the probabilistic k-anonymity property is satisfied during the data collection process and the k-anonymity property is satisfied by the data set derived from the anonymization process. To carry out the anonymous sending of personal data during the collection process, we introduce the delocalized-record chain, a new mechanism of anonymous communication aimed at multi-user environments to collaboratively protect information, which by not requiring third-party intermediaries makes it especially suitable for private IoT networks (besides public IoT networks).

【 授权许可】

Unknown