Skip navigation

Prototyping a generic physical layer encryption scheme for IoT networks

Prototyping a generic physical layer encryption scheme for IoT networks

Zachos, Georgios, Ribeiro, Jose, Mantas, Georgios and Rodriguez, Jonathan (2024) Prototyping a generic physical layer encryption scheme for IoT networks. In: 2024 IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). Institute of Electrical and Electronics Engineers (IEEE). (In Press)

[thumbnail of Author's Accepted Manuscript] PDF (Author's Accepted Manuscript)
48720 MANTAS_Prototyping_A_Generic_Physical_Layer_Encryption_Scheme_For_IoT_Netowrks_(AAM)_2024.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Attribution.

Download (587kB) | Request a copy

Abstract

To achieve information security objectives at the physical layer, while requiring a minimal resource footprint, Physical Layer Security (PLS) is a promising approach. In a previous work, the Grain-128PLE, a lightweight physical layer encryption (PLE) scheme derived from the Grain-128AEAD v2 stream cipher, was presented. The Grain-128PLE scheme is a generic PLE scheme that performs encryption and decryption at the physical layer, in between the channel coding and signal modulation processes. In this work, we focus on the implementation of the Grain-128PLE scheme and its performance evaluation with regards to the efficient use of resources during run-time. The evaluation results showed that the implemented PLE scheme incurs zero communication overhead and a small computational overhead that is dependent on the message length.

Item Type: Conference Proceedings
Title of Proceedings: 2024 IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)
Uncontrolled Keywords: data confidentiality, Internet of Things, Physical Layer Encryption, stream cipher, Grain-128PLE
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENG)
Related URLs:
Last Modified: 29 Nov 2024 12:00
URI: http://gala.gre.ac.uk/id/eprint/48720

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics