Utility-driven k-anonymization of public transport user data

• 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: Engineering::Computer science and engineering; Clustering; K-anonymity
• Online Access: https://hdl.handle.net/10356/146652
• Institution: Nanyang Technological University

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...