RT journal article
T1 Cooperative Privacy-Preserving Data Collection Protocol Based on Delocalized-Record Chains
A1 Rodríguez García, María Mercedes
A1 Cifredo Chacón, María Ángeles
A1 Quirós Olozábal, Ángel
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 Anonymous communication
K1 privacy
K1 k-anonymity
K1 Internet of Things
K1 privacy-preserving data collection
AB 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).
PB IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
SN 2169-3536
YR 2020
FD 2020
LK http://hdl.handle.net/10498/23978
UL http://hdl.handle.net/10498/23978
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 15-nov-2026