TY - GEN
T1 - Performance Analysis of PLS key generation-based Secure NOMA-enabled IoT Networks in the presence of Untrusted Users
AU - Chamkhia, Hela
AU - Al-Ali, Abdullah
AU - Mohamed, Amr
AU - Guizani, Mohsen
AU - Erbad, Aiman
AU - Refaey, Ahmed
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/14
Y1 - 2021/6/14
N2 - In Internet of Things (IoT), a massive amount of sensitive data is generated and transmitted by IoT devices. Security risks represent a major concern in IoT, especially when using innovative techniques such as Non-Orthogonal Multiple Access (NOMA) technique, where users can access other users' data. In fact, in NOMA-based IoT systems, communication is not only threatened by external eavesdroppers, but also by untrusted internal users. Therefore, it is necessary to adopt an encryption technique that guarantees IoT system communications. This paper presents a comparative study of secret key generation, where performance analysis of secure NOMA-enabled IoT network in the presence of untrusted users is detailed using different PLS key generation schemes.
AB - In Internet of Things (IoT), a massive amount of sensitive data is generated and transmitted by IoT devices. Security risks represent a major concern in IoT, especially when using innovative techniques such as Non-Orthogonal Multiple Access (NOMA) technique, where users can access other users' data. In fact, in NOMA-based IoT systems, communication is not only threatened by external eavesdroppers, but also by untrusted internal users. Therefore, it is necessary to adopt an encryption technique that guarantees IoT system communications. This paper presents a comparative study of secret key generation, where performance analysis of secure NOMA-enabled IoT network in the presence of untrusted users is detailed using different PLS key generation schemes.
KW - Channel-based Key Generation
KW - Internet of Things
KW - Lightweight Communication
KW - NOMA
KW - Physical layer Security.
UR - http://www.scopus.com/inward/record.url?scp=85119868533&partnerID=8YFLogxK
U2 - 10.1109/WF-IoT51360.2021.9595800
DO - 10.1109/WF-IoT51360.2021.9595800
M3 - Conference contribution
AN - SCOPUS:85119868533
T3 - 7th IEEE World Forum on Internet of Things, WF-IoT 2021
SP - 633
EP - 638
BT - 7th IEEE World Forum on Internet of Things, WF-IoT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE World Forum on Internet of Things, WF-IoT 2021
Y2 - 14 June 2021 through 31 July 2021
ER -