Drivers and Passengers Maybe the Weakest Link in the CAV Data Privacy Defenses

Aiping Xiong, Z. Cai, Tianhao Wang
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Abstract

—Individuals’ interactions with connected autonomous vehicles (CAVs) involve sharing various data in a ubiquitous manner, raising novel challenges for privacy. The human factors of privacy must first be understood to promote consumers’ acceptance of CAVs. To inform the privacy research in the context of CAVs, we discuss how the emerging technologies development of CAV poses new privacy challenges for drivers and passengers. We argue that the privacy design of CAVs should adopt a user-centered approach, which integrates human factors into the development and deployment of privacy-enhancing technologies, such as differential privacy.
司机和乘客可能是自动驾驶汽车数据隐私防御中最薄弱的环节
个人与联网自动驾驶汽车(cav)的互动涉及以无处不在的方式共享各种数据,这对隐私提出了新的挑战。为了促进消费者对自动驾驶汽车的接受,首先必须了解隐私的人为因素。为了给自动驾驶汽车的隐私研究提供信息,我们讨论了自动驾驶汽车的新兴技术发展如何给司机和乘客带来新的隐私挑战。我们认为cav的隐私设计应该采用以用户为中心的方法,将人为因素整合到隐私增强技术的开发和部署中,例如差异隐私。
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