确保联网车辆的态势感知隐私

Yunxuan Li, Pascal Hirmer, Christoph Stach, B. Mitschang
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引用次数: 1

摘要

随着新型传感器和软件技术的进步,现代车辆变得越来越智能。迄今为止,联网车辆可以收集、处理数据,并与联网车辆环境中的其他实体共享数据。然而,在数据收集和交换方面,隐私成为一个核心问题。即使是同一项服务,驾驶员的隐私需求也会随着情况的变化而变化,因此在互联汽车环境中保护隐私是一项挑战。本文从态势感知和安全两个方面分析了互联汽车环境下隐私保护系统的需求。在此基础上,提出了一种新的联网车辆态势感知隐私保护框架。我们的框架支持针对特定端点服务的个人隐私保护,以及针对不同情况的情境感知隐私保护。
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Ensuring Situation-Aware Privacy for Connected Vehicles
As technology advances in new sensors and software, modern vehicles become increasingly intelligent. To date, connected vehicles can collect, process, and share data with other entities in connected vehicle environments. However, in terms of data collection and exchange, privacy becomes a central issue. It is challenging to preserve privacy in connected vehicle environments when the privacy demands of drivers could change from situation to situation even for the same service. In this paper, we analyze the requirements for a privacy-preserving system in connected vehicle environments with a focus on situation-awareness and safety aspects. Based on the analysis, we propose a novel situation-aware privacy-preserving framework for connected vehicles. Our framework supports individual privacy protections for specific end-point services and situation-aware privacy protections for different circumstances.
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