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Integrated identity protection for semantic communications in embodied IoT

Original title: Integrated Identity Protection for Semantic Communications in Embodied IoT Systems

arXiv cs.CRby Yu Zhang ()1 min read1 · 1 read
AI summary · x-ai/grok-4.7Summaries by Vani AI

A dual-branch mechanism protects source identity in semantic communications for embodied IoT systems against active impersonation and passive inference.

Embodied IoT systems use task-oriented semantic communication where trustworthy decisions require semantic reliability and source legitimacy. Existing designs focus on semantic content recovery but neglect source legitimacy. The paper proposes integrated identity protection treating each SemCom signal as a carrier of both semantic information and physical identity. A dual-branch mechanism performs authentication or concealment depending on operating mode. The outputs support task decisions under mode-specific requirements. Two case studies evaluate the framework for active source impersonation and passive identity inference.

Key facts
  • Dual-branch mechanism in authentication and concealment modes
  • Parallel semantic recovery and source verification
  • Identity exposure suppressed in concealment mode
  • Joint interpretation for task decisions
  • Case studies on impersonation and inference
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From the original article

1 min read at arxiv.org

Embodied Internet of Things (IoT) systems are promoting the adoption of task-oriented semantic communication (SemCom), in which the trustworthy task decisions require both semantic information reliability and source legitimacy. However, existing trustworthy designs in SemCom mainly focus on semantic content recovery and protection, with limited attention to source legitimacy.

arXiv cs.CR

By Yu Zhang · arxiv.org

Read the full article at arXiv cs.CR

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