Comprehensive Survey on Privacy-Preserving Spatial Data Query in Transportation Systems

Miao, Yinbin; Yang, Yutao; Li, Xinghua; Choo, Kim‐Kwang Raymond; Meng, Xiangjian; Deng, Robert H.

doi:10.1109/tits.2023.3295798

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Cited by 4 publications

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“…These devices learn the user's behavior patterns, leading to the optimization of functions such as energy efficiency [2]. Similarly, intelligent transportation systems utilize real-time data to improve urban mobility and adapt to individual needs and preferences [17]. However, the collection of personal data by these systems raises significant concerns.…”

Section: Introductionmentioning

confidence: 99%

Towards the design of personal data protection-aware artificial intelligence applications in ubiquitous smart environments

Morales-Vanegas,

Álvarez Magallán,

Gaytán Lugo

et al. 2023

Avances en IHC

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Protecting personal data in ubiquitous smart environments is crucial to ensure user privacy and trust in artificial intelligence (AI) applications. This paper explores approaches and techniques for designing privacy-aware and respectful AI applications where the balance between technological innovation and data protection is essential to ensure these technologies' ethical and sustainable adoption.

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Section: Introductionmentioning

confidence: 99%