TY - GEN
T1 - Physical Layer Continuous Authentication for Wireless Mesh Networks
T2 - 2nd IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2022
AU - Illi, Elmehdi
AU - Pandey, Anshul
AU - Bariah, Lina
AU - Singh, Govind
AU - Giacalone, Jean Pierre
AU - Muhaidat, Sami
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper investigates the robustness of the received signal strength (RSS)-based physical layer authentication (PLA) for wireless mesh networks, through experimental results. Specifically, we develop a secure wireless mesh networking framework and apply the RSS-based PLA scheme, with the aim to perform continuous authentication. The mesh setup comprises three Raspberry-PI4 computing nodes (acting as Alice, Bob, and Eve) and a server. The server role is to perform the initial authentication when a new node joins the mesh network. After that, the legitimate nodes in the mesh network perform continuous authentication, by leveraging the RSS feature of wireless signals. In particular, Bob tries to authenticate Alice in the presence of Eve. The performance of the presented framework is quantified through extensive experimental results in an outdoor environment, where various nodes' positions, relative distances, and pedestrian speeds scenarios are considered. The obtained results demonstrate the robustness of the underlying model, where an authentication rate of 99% for the static case can be achieved. Meanwhile, at the pedestrian speed, the authentication rate can drop to 85%. On the other hand, the detection rate improves when the distance between the legitimate and wiretap links is large (exceeds 20 meters) or when Alice and Eve are moving in different mobility patterns.
AB - This paper investigates the robustness of the received signal strength (RSS)-based physical layer authentication (PLA) for wireless mesh networks, through experimental results. Specifically, we develop a secure wireless mesh networking framework and apply the RSS-based PLA scheme, with the aim to perform continuous authentication. The mesh setup comprises three Raspberry-PI4 computing nodes (acting as Alice, Bob, and Eve) and a server. The server role is to perform the initial authentication when a new node joins the mesh network. After that, the legitimate nodes in the mesh network perform continuous authentication, by leveraging the RSS feature of wireless signals. In particular, Bob tries to authenticate Alice in the presence of Eve. The performance of the presented framework is quantified through extensive experimental results in an outdoor environment, where various nodes' positions, relative distances, and pedestrian speeds scenarios are considered. The obtained results demonstrate the robustness of the underlying model, where an authentication rate of 99% for the static case can be achieved. Meanwhile, at the pedestrian speed, the authentication rate can drop to 85%. On the other hand, the detection rate improves when the distance between the legitimate and wiretap links is large (exceeds 20 meters) or when Alice and Eve are moving in different mobility patterns.
UR - http://www.scopus.com/inward/record.url?scp=85142240291&partnerID=8YFLogxK
U2 - 10.1109/MeditCom55741.2022.9928604
DO - 10.1109/MeditCom55741.2022.9928604
M3 - Conference contribution
AN - SCOPUS:85142240291
T3 - 2022 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2022
SP - 136
EP - 141
BT - 2022 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 September 2022 through 8 September 2022
ER -