🤖 AI Summary
This study addresses the fundamental trade-off between information timeliness and semantic secrecy in wireless status update systems. By constructing a three-node wiretap channel model based on the Version Age of Information (VAoI), it exploits the semantic asymmetry between transceivers to derive closed-form expressions for the average VAoI and secrecy probability through two-dimensional Markov chain analysis and Rayleigh fading modeling. Furthermore, this work introduces the novel concept of a “semantic secrecy region” and conducts a geometric analysis to jointly optimize transmission strategies and power allocation. Numerical results demonstrate that the proposed optimization scheme significantly enlarges the secrecy region compared to fixed-power baselines, effectively characterizing the optimal performance boundaries of the system.
📝 Abstract
This paper investigates semantic secrecy in wireless status-update systems using Version Age of Information (VAoI). We model the fundamental tradeoff between informative updates and confidentiality (semantic asymmetry between the legitimate destination and the eavesdropper) using a three-node wiretap channel. To evaluate secrecy performance, we introduce the concept of a semantic secrecy region (SSR) and analyze it from a geometrical perspective. By developing a two-dimensional Markov chain, we derive closed-form expressions for the destination's average VAoI and the probability of semantic asymmetry at the eavesdropper. These results enable the joint optimization of transmission probability and power control. For Rayleigh fading channels, we characterize the optimal SSR boundary and power allocation. Numerical results validate our analysis, showing that optimized power allocation significantly enlarges the secrecy region compared with fixed-power benchmarks.