Version Age-of-Information-based Semantic Secrecy Region Analysis
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.
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BibTeX
@misc{wang2026version,
title = {{Version Age-of-Information-based Semantic Secrecy Region Analysis}},
author = {Qian Wang and Bohai Li and Chao Sun and Lou Zhao and Chunshan Liu and Nikolaos Pappas},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.39479},
eprint = {2609.39479},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.39479},
}
RIS
TY - UNPB
TI - Version Age-of-Information-based Semantic Secrecy Region Analysis
AU - Qian Wang
AU - Bohai Li
AU - Chao Sun
AU - Lou Zhao
AU - Chunshan Liu
AU - Nikolaos Pappas
PY - 2026
DA - 2026/09/30
PB - arXiv
DO - 10.48550/arxiv.2609.39479
UR - https://arxiv.org/abs/2609.39479
AB - 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.
ER -