Skip navigation

Grain-128PLE: generic physical-layer encryption for IoT networks

Grain-128PLE: generic physical-layer encryption for IoT networks

de Ree, Mark, Mantas, Georgios ORCID: 0000-0002-8074-0417 and Rodriguez, Jonathan (2023) Grain-128PLE: generic physical-layer encryption for IoT networks. In: IEEE GLOBECOM 2023 Workshops Proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey. (In Press)

[img] PDF (AAM)
44494_MANTAS_ Grain_128PLE_Generic_Physical_Layer_Encryption_for_IoT_networks.pdf - Accepted Version
Restricted to Repository staff only

Download (303kB) | Request a copy

Abstract

Physical layer security (PLS) encompasses techniques proposed at the physical layer to achieve information security objectives while requiring a minimal resource footprint. The channel coding-based secrecy and signal modulation-based encryption approaches are reliant on certain channel conditions or a certain communications protocol stack to operate on, which prevents them from being a generic solution. This paper presents Grain-128PLE, a lightweight physical layer encryption (PLE) scheme that is derived from the Grain-128AEAD v2 stream cipher. The Grain-128PLE stream cipher performs encryption and decryption at the physical layer, in between the channel coding and signal modulation processes. This placement, like that of the A5 stream cipher that had been used in the GSM communications standard, makes it a generic solution for providing data confidentiality in IoT networks. The design of Grain-128PLE maintains the structure of the main building blocks of the original Grain128AEAD v2 stream cipher, evaluated for its security strength during NIST’s recent Lightweight Cryptography competition, and is therefore expected to achieve similar levels of security.

Item Type: Conference Proceedings
Title of Proceedings: IEEE GLOBECOM 2023 Workshops Proceedings
Uncontrolled Keywords: data confidentiality; Internet of Things; Physical Layer Encryption; Physical Layer Security; stream cipher
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
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:
Last Modified: 14 Nov 2023 16:23
URI: http://gala.gre.ac.uk/id/eprint/44494

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics