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Authors: Rohan Iyer 1 ; Regina Rex 1 ; Kevin P. McPherson 1 ; Darshan Gandhi 1 ; Aryan Mahindra 1 ; Abhishek Singh 2 ; 1 and Ramesh Raskar 2 ; 1

Affiliations: 1 PathCheck Foundation, Cambridge, U.S.A. ; 2 MIT Media Lab, MIT, Cambridge, U.S.A.

Keyword(s): Spatial K-anonymity, Contact Tracing, Spatial Privacy.

Abstract: There is a growing need for spatial privacy considerations in the many geo-spatial technologies that have been created as solutions for COVID-19-related issues. Although effective geo-spatial technologies have already been rolled out, most have significantly sacrificed privacy for utility. In this paper, we explore spatial k-anonymity, a privacy-preserving method that can address this unnecessary tradeoff by providing the best of both privacy and utility. After evaluating its past implications in geo-spatial use cases, we propose applications of spatial k-anonymity in the data sharing and managing of COVID-19 contact tracing technologies as well as heat maps showing a user’s travel history. We then justify our propositions by comparing spatial k-anonymity with several other spatial privacy methods, including differential privacy, geo-indistinguishability, and manual consent based redaction. Our hope is to raise awareness of the ever-growing risks associated with spatial privacy and h ow they can be solved with Spatial K-anonymity. (More)

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Paper citation in several formats:
Iyer, R.; Rex, R.; McPherson, K.; Gandhi, D.; Mahindra, A.; Singh, A. and Raskar, R. (2021). Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geo-spatial Technologies. In Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-503-6; ISSN 2184-500X, SciTePress, pages 109-115. DOI: 10.5220/0010428400750081

@conference{gistam21,
author={Rohan Iyer. and Regina Rex. and Kevin P. McPherson. and Darshan Gandhi. and Aryan Mahindra. and Abhishek Singh. and Ramesh Raskar.},
title={Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geo-spatial Technologies},
booktitle={Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2021},
pages={109-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010428400750081},
isbn={978-989-758-503-6},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geo-spatial Technologies
SN - 978-989-758-503-6
IS - 2184-500X
AU - Iyer, R.
AU - Rex, R.
AU - McPherson, K.
AU - Gandhi, D.
AU - Mahindra, A.
AU - Singh, A.
AU - Raskar, R.
PY - 2021
SP - 109
EP - 115
DO - 10.5220/0010428400750081
PB - SciTePress

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