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Communication Dans Un Congrès Année : 2023

Digital Twin in Healthcare: Security Threat Meta-Model

Abdallah Karakra
Franck Fontanili
Adel Taweel
  • Fonction : Auteur
Elyes Lamine
Jacques Lamothe

Résumé

A virtual mirrored replica of the real-world, has become a new trend in recent years with the advent of Industry 4.0, shows how intelligent digital twins (DT) can unlock busi-ness value. The implementation of DT requires various types of technologies, including the Internet of Things (IoT), cloud computing, artificial intelligence, and others. Today, DTs can be used in various fields, including manufacturing, smart cities and healthcare. It can be used to monitor the real environment, predict its future, control its behavior, and improve its overall performance. Despite the aforementioned advantages of DTs, if not protected, they can also be considered as an open environment for attackers. If attackers take over a DT, they may end up owning the real environment controlled by the DT. This can result in damaging consequences. This paper explores the potential security and privacy threats that may be brought in through DTs. It proposes and presents a threat meta-model of DTs that identifies key security aspects of concern.
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Dates et versions

hal-04023448 , version 1 (10-03-2023)

Identifiants

Citer

Abdallah Karakra, Franck Fontanili, Adel Taweel, Elyes Lamine, Jacques Lamothe, et al.. Digital Twin in Healthcare: Security Threat Meta-Model. AICCSA 2022 - IEEE/ACS 19th International Conference on Computer Systems and Applications, Dec 2022, Abu Dhabi, United Arab Emirates. pp.1-6, ⟨10.1109/AICCSA56895.2022.10017729⟩. ⟨hal-04023448⟩
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