Utility-driven k-anonymization of public transport user data

In this paper, we propose a k-anonymity approach that prioritizes the generalization of attributes based on their utility. We focus on transport data, which we consider a special case in which many or all attributes are quasi-identifiers (e.g., origin, destination, ride start time), as they allow co...

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Bibliographic Details
Main Authors: Bhati, Bhawani Shanker, Ivanchev, Jordan, Bojic, Iva, Datta, Anwitaman, Eckhoff, David
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/146652
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Institution: Nanyang Technological University
Language: English