Threat Modelling with the GDPR towards a Security and Privacy Metrics Framework for IoT Smart-farm Application

Steph Rudd, Hamish Cunningham

2022

Abstract

This paper considers a balance between privacy and security provisions for IoT devices constrained by processing ability, energy consumption, and storage. Risk-driven testing is invoked in conjunction with the seven GDPR principles towards a metrics framework suitable for such an energy-conscious network within the domain of IoT-oriented smart-farms. The resulting metrics framework demonstrates how the influence of privacy can minimise processing requirements, whilst threat modeling assures security. The research concludes that several redundant security provisions can be replaced with privacy alternatives that improve energy efficiency.

Paper Citation

in Harvard Style

Rudd S. and Cunningham H. (2022). Threat Modelling with the GDPR towards a Security and Privacy Metrics Framework for IoT Smart-farm Application. In Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-564-7, pages 91-102. DOI: 10.5220/0010920800003194

in Bibtex Style

@conference{iotbds22,
author={Steph Rudd and Hamish Cunningham},
title={Threat Modelling with the GDPR towards a Security and Privacy Metrics Framework for IoT Smart-farm Application},
booktitle={Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2022},
pages={91-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010920800003194},
isbn={978-989-758-564-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Threat Modelling with the GDPR towards a Security and Privacy Metrics Framework for IoT Smart-farm Application
SN - 978-989-758-564-7
AU - Rudd S.
AU - Cunningham H.
PY - 2022
SP - 91
EP - 102
DO - 10.5220/0010920800003194