Data Privacy in Wearable IoT Devices: Anonymization and Deanonymization

Semi Park, Riha Kim, Hyunsik Yoon, Kyungho Lee

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

With the development of IoT devices, wearable devices are being used to record various types of information. Wearable IoT devices are attached to the user and can collect and transmit user data at all times along with a smartphone. In particular, sensitive information such as location information has an essential value in terms of privacy, and therefore some IoT devices implement data protection by introducing methods such as masking. However, masking can only protect privacy to a certain extent in logs having large numbers of recorded data. However, the effectiveness may decrease if we are linked with other information collected from within the device. Herein, a scenario-based case study on deanonymizing anonymized location information based on logs stored in wearable devices is described. As a result, we combined contextual and direct evidence from the collected information. It was possible to obtain the result in which the user could effectively identify the actual location. Through this study, not only can a deanonymized user location be identified but we can also confirm that cross-validation is possible even when dealing with modified GPS coordinates.

Original languageEnglish
Article number4973404
JournalSecurity and Communication Networks
Volume2021
DOIs
Publication statusPublished - 2021

Bibliographical note

Publisher Copyright:
© 2021 Semi Park et al.

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Data Privacy in Wearable IoT Devices: Anonymization and Deanonymization'. Together they form a unique fingerprint.

Cite this