Privacy-enhancing technologies in the design of digital twins for smart cities

Gabriela Ahmadi-Assalemi; Haider Al-Khateeb; Amar Aggoun

doi:10.12968/S1353-4858(22)70046-3

Privacy-enhancing technologies in the design of digital twins for smart cities

Gabriela Ahmadi-Assalemi
, Haider Al-Khateeb
, Amar Aggoun

University of Wolverhampton

Research output: Contribution to specialist publication or newspaper › Article

9 Citations (SciVal)

Abstract

Digital twin technologies - comprised of data-rich models and machine learning - allow the operators of smart city applications to gain an accurate representation of complex cyber-physical models. However, the implicit need for resilient data protection must be achieved by integrating privacy-preserving mechanisms into the DT system design as part of an effective defence-in-depth strategy..

Original language	English
No.	7
Specialist publication	Network Security
DOIs	https://doi.org/10.12968/S1353-4858(22)70046-3
Publication status	Published - 1 Jul 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

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10.12968/S1353-4858(22)70046-3

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Privacy-enhancing technologies in the design of digital twins for smart cities

Abstract

UN SDGs

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