AIApr 11, 2022

The Principle of Least Sensing: A Privacy-Friendly Sensing Paradigm for Urban Big Data Analytics

arXiv:2204.05168v1h-index: 4
Originality Incremental advance
AI Analysis

It addresses privacy concerns in urban big data analytics for stakeholders under regulatory constraints.

The paper tackles the challenge of conducting big data analytics under data protection regulations by introducing the principle of least sensing as a privacy-friendly sensing paradigm.

With the worldwide emergence of data protection regulations, how to conduct law-regulated big data analytics becomes a challenging and fundamental problem. This article introduces the principle of least sensing, a promising sensing paradigm toward law-regulated big data analytics.

Foundations

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