Recently, semantic communication (SemCom) has shown its great superiorities
in resource savings and information exchanges. Tuttavia, while its unique
background knowledge guarantees accurate semantic reasoning and recovery,
semantic information security-related concerns are introduced at the same time.
Since the potential eavesdroppers may have the same background knowledge to
accurately decrypt the private semantic information transmitted between legal
SemCom users, this makes the knowledge management in SemCom networks rather
challenging in joint consideration with the power control. To this end, this
paper focuses on jointly addressing three core issues of power allocation,
knowledge base caching (KBC), and device-to-device (D2D) user pairing (DUP) in
secure SemCom networks. We first develop a novel performance metric, namely
semantic secrecy throughput (SST), to quantify the information security level
that can be achieved at each pair of D2D SemCom users. Next, an SST
maximization problem is formulated subject to secure SemCom-related delay and
reliability constraints. Afterward, we propose a security-aware resource
management solution using the Lagrange primal-dual method and a two-stage
method. Simulation results demonstrate our proposed solution nearly doubles the
SST performance and realizes less than half of the queuing delay performance
compared to different benchmarks.

Questo articolo esplora i giri e le loro implicazioni.

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