TY - JOUR
T1 - A novel physical layer authentication mechanism for static and mobile 3D underwater acoustic communication networks
AU - Aman, Waqas
AU - Al-Kuwari, Saif
AU - Qaraqe, Marwa
N1 - Publisher Copyright:
© 2024 Elsevier B.V.
PY - 2024/6/26
Y1 - 2024/6/26
N2 - In this paper, we present an innovative physical layer authentication approach for underwater acoustic communication networks. Our method leverages the transmitter nodes' positions to establish a robust authentication mechanism. We consider two scenarios based on the mobility of the nodes. In the first scenario, underwater nodes (both legitimate and malicious) are static, while the second scenario assumes that the underwater nodes are mobile moving at a certain velocity. For both scenarios, we estimate position by analyzing the signals received at reference nodes that are strategically placed within a predetermined underwater area. Once the estimates are available, we propose binary hypothesis testing based on the estimated position to determine the legitimacy of the transmitter node. Furthermore, when the nodes are mobile, we perform velocity estimation at a certain time by taking the difference of the estimated coordinates, for which we also find the uncertainty in the estimation. We use a linear Kalman filter operation to track the legitimate node's mobility. We provide closed -form expressions of the false alarm rate and missed detection rate resulting from binary hypothesis testing. We validate our proposed mechanism through simulation, demonstrating error behavior against link quality, malicious node location, and receiver operating characteristic (ROC) curves.
AB - In this paper, we present an innovative physical layer authentication approach for underwater acoustic communication networks. Our method leverages the transmitter nodes' positions to establish a robust authentication mechanism. We consider two scenarios based on the mobility of the nodes. In the first scenario, underwater nodes (both legitimate and malicious) are static, while the second scenario assumes that the underwater nodes are mobile moving at a certain velocity. For both scenarios, we estimate position by analyzing the signals received at reference nodes that are strategically placed within a predetermined underwater area. Once the estimates are available, we propose binary hypothesis testing based on the estimated position to determine the legitimacy of the transmitter node. Furthermore, when the nodes are mobile, we perform velocity estimation at a certain time by taking the difference of the estimated coordinates, for which we also find the uncertainty in the estimation. We use a linear Kalman filter operation to track the legitimate node's mobility. We provide closed -form expressions of the false alarm rate and missed detection rate resulting from binary hypothesis testing. We validate our proposed mechanism through simulation, demonstrating error behavior against link quality, malicious node location, and receiver operating characteristic (ROC) curves.
KW - Impersonation
KW - Localization
KW - Location
KW - Mobility
KW - Physical layer authentication
KW - Position
KW - Security
KW - Spoofing
KW - Underwater acoustic communication
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=hbku_researchportal&SrcAuth=WosAPI&KeyUT=WOS:001263549600001&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1016/j.phycom.2024.102430
DO - 10.1016/j.phycom.2024.102430
M3 - Article
SN - 1874-4907
VL - 66
JO - Physical Communication
JF - Physical Communication
M1 - 102430
ER -