Utility-driven k-anonymization of public transport user data

• المؤلفون الرئيسيون: Bhati, Bhawani Shanker, Ivanchev, Jordan, Bojic, Iva, Datta, Anwitaman, Eckhoff, David
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering; Clustering; K-anonymity
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/146652

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...