de Ree, Marcus, Mantas, Georgios ORCID: 0000-0002-8074-0417, Rodriguez, Jonathan, Althunibat, Saud, Qaraqe, Marwa K., Alhasanat, Abdullah, Al-Kuwari, Saif M., Alsafasfeh, Moath, Oligeri, Gabriele, Tusha, Seda, Usman, Muhammad, Taha, Fatima Abu, Alfalahat, Samiha, Alshamaseen, Tasneem and Qaisi, Malak (2021) Data confidentiality for IoT networks: cryptographic gaps and physical-layer opportunities. In: 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). 25-27 Oct. 2021. Porto, Portugal. IEEE Xplore . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-6. ISBN 978-1665417792 ; 978-1665417808 ISSN 2378-4865 (Print), 2378-4873 (Online) (doi:https://doi.org/10.1109/CAMAD52502.2021.9617779)

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Abstract

The conventional solution for providing data confidentiality is by means of encryption (a branch of cryptography). However, encryption schemes are generally designed to provide a certain level of security without necessarily taking resource consumption into account. This poses an issue for Internet of Things (IoT) devices which are limited in terms of storage capacity and computational capabilities. In this paper, we discuss the capabilities of cryptographic solutions for providing data confidentiality and we evaluate whether these solutions are appropriate for IoT networks in terms of resource consumption. Based on the identified drawbacks of cryptographic solutions, we discuss opportunities within the area of physical-layer security (PLS). Finally, we provide an overview of PLS schemes which aim
to enhance data confidentiality in IoT networks.

Item Type:	Conference Proceedings
Title of Proceedings:	2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). 25-27 Oct. 2021. Porto, Portugal.
Uncontrolled Keywords:	cryptography; data confidentiality; information security; Internet of Things; physical-layer security
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG)
Related URLs:	Publisher
Last Modified:	04 Mar 2022 11:53
URI:	http://gala.gre.ac.uk/id/eprint/35249

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