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The complexity of modern communication systems continues to escalate with the advent of 6G technologies and their diverse applications. A significant challenge in such systems is effectively analyzing and addressing privacy concerns without compromising functionality or overusing the resources. This paper introduces a novel and efficient risk-aware methodology for privacy modeling and enhancement, specifically designed to address the unique requirements of 6G in the context of railway crossing monitoring. Despite considering the application-specific infrastructure, the proposed methodology can apply to other non-6G-based use cases.

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A New Privacy Modeling and Enhancement Methodology for JCAS-Enabled Railway Applications

  • 会议论文

  • 发表日期：

    2025年

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  • Yevhen Zolotavkin,
  • Prajnamaya Dass,
  • Stefan Köpsell

摘要

The complexity of modern communication systems continues to escalate with the advent of 6G technologies and their diverse applications. A significant challenge in such systems is effectively analyzing and addressing privacy concerns without compromising functionality or overusing the resources. This paper introduces a novel and efficient risk-aware methodology for privacy modeling and enhancement, specifically designed to address the unique requirements of 6G in the context of railway crossing monitoring. Despite considering the application-specific infrastructure, the proposed methodology can apply to other non-6G-based use cases.