Towards a Threat Model and Security Analysis for Data Cooperatives

Abiola Salau, Ram Dantu, Kirill Morozov, Kritagya Upadhyay, Syed Badruddoja

2022

Abstract

Data cooperative (called “data coop” for short) is an emerging approach in the area of secure data management. It promises its users a better protection and control of their data, as compared to the traditional way of their handling by the data collectors (such as governments, big data companies, and others). However, for the success of data coops, existing challenges with respect to data management systems need to be adequately addressed. Especially, they concern terms of security and privacy, as well as the power imbalance between providers/owners and collectors of data. Designing a security and privacy model for a data coop requires a systematic threat modeling approach that identifies the security landscape, attack vectors, threats, and vulnerabilities, as well as the respective mitigation strategies. In this paper, we analyze the security of data cooperatives, identify potential security risks and threats, and suggest adequate countermeasures. We also discuss existing challenges that hinder the widespread adoption of data coops.

Paper Citation

in Harvard Style

Salau A., Dantu R., Morozov K., Upadhyay K. and Badruddoja S. (2022). Towards a Threat Model and Security Analysis for Data Cooperatives. In Proceedings of the 19th International Conference on Security and Cryptography - Volume 1: SECRYPT, ISBN 978-989-758-590-6, pages 707-713. DOI: 10.5220/0011328700003283

in Bibtex Style

@conference{secrypt22,
author={Abiola Salau and Ram Dantu and Kirill Morozov and Kritagya Upadhyay and Syed Badruddoja},
title={Towards a Threat Model and Security Analysis for Data Cooperatives},
booktitle={Proceedings of the 19th International Conference on Security and Cryptography - Volume 1: SECRYPT,},
year={2022},
pages={707-713},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011328700003283},
isbn={978-989-758-590-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Security and Cryptography - Volume 1: SECRYPT,
TI - Towards a Threat Model and Security Analysis for Data Cooperatives
SN - 978-989-758-590-6
AU - Salau A.
AU - Dantu R.
AU - Morozov K.
AU - Upadhyay K.
AU - Badruddoja S.
PY - 2022
SP - 707
EP - 713
DO - 10.5220/0011328700003283