TY - GEN
T1 - A Channel Magnitude Based Key Generation Scheme for Static and Dynamic Environments
AU - Usman, Muhammad
AU - Althunibat, Saud
AU - Qaraqe, Marwa
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The physical characteristics of the wireless channel can be exploited to secure communication within Internet-of-Things (IoT) networks. Several techniques have been proposed in the literature; however, the feasibility of such techniques in IoT environments remains unclear. In some cases IoT devices may be deployed in static environments wherein the channel coherence time is too high to generate keys at a faster rate and with the desired randomness. On the other hand, in some cases IoT devices are deployed in dynamic environments wherein the channel properties changes very fast over the time. Key generation schemes proposed for one environment are not directly applicable to the other. While low key generation rate (KGR) is an issue for static environments, higher values of bit error rate (BER) becomes a bottleneck in dynamic environments. This paper proposes a mapping-table based key distribution scheme for IoT networks deployed in both static and dynamic environments. In the proposed scheme, the channel magnitude is exploited in the key generation process. The proposed scheme is immune to channel estimation errors, while providing sufficient randomness in the static environment.
AB - The physical characteristics of the wireless channel can be exploited to secure communication within Internet-of-Things (IoT) networks. Several techniques have been proposed in the literature; however, the feasibility of such techniques in IoT environments remains unclear. In some cases IoT devices may be deployed in static environments wherein the channel coherence time is too high to generate keys at a faster rate and with the desired randomness. On the other hand, in some cases IoT devices are deployed in dynamic environments wherein the channel properties changes very fast over the time. Key generation schemes proposed for one environment are not directly applicable to the other. While low key generation rate (KGR) is an issue for static environments, higher values of bit error rate (BER) becomes a bottleneck in dynamic environments. This paper proposes a mapping-table based key distribution scheme for IoT networks deployed in both static and dynamic environments. In the proposed scheme, the channel magnitude is exploited in the key generation process. The proposed scheme is immune to channel estimation errors, while providing sufficient randomness in the static environment.
KW - Dynamic environments
KW - Internet of things (IoT)
KW - Key generation
KW - Physical layer security
KW - Static environments
UR - http://www.scopus.com/inward/record.url?scp=85123003298&partnerID=8YFLogxK
U2 - 10.1109/CAMAD52502.2021.9617814
DO - 10.1109/CAMAD52502.2021.9617814
M3 - Conference contribution
AN - SCOPUS:85123003298
T3 - IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
BT - 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021
Y2 - 25 October 2021 through 27 October 2021
ER -