2016/12/29 by Biao He, He, Biao, Shihao Yan +5 · 9 citations
Computer Science · Engineering · Mathematics · Psychology · #Cognitive Radio Networks and Spectrum Sensing #Deception detection and forensic psychology #FOS: Computer and information sciences #Information Theory (cs.IT) #Wireless Communication Security Techniques #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.1612.09027
to appear in IEEE Communications Letters
arxiv created 2016/12/29 · openalex publication_date 2016/12/29 · arxiv updated 2016/12/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Prior studies on covert communication with noise uncertainty adopted a worst-case approach from the warden's perspective. That is, the worst-case detection performance of the warden is used to assess covertness, which is overly optimistic. Instead of simply considering the worst limit, in this work, we take the distribution of noise uncertainty into account to evaluate the overall covertness in a statistical sense. Specifically, we define new metrics for measuring the covertness, which are then adopted to analyze the maximum achievable rate for a given covertness requirement under both bounded and unbounded noise uncertainty models.