隐私即一切所需：通过先进的PETs革新可穿戴健康数据
Privacy is All You Need: Revolutionizing Wearable Health Data with Advanced PETs
AI总结：
本文提出一种通过整合联邦学习、轻量加密和区块链技术的隐私增强框架，旨在降低可穿戴健康数据的隐私风险，提升用户对数据的控制权。
摘要：
在数据成为新货币的世界中，可穿戴健康设备提供了前所未有的日常生活洞察，持续监测生命体征和指标。然而，这种便利性带来了隐私问题，因为这些设备收集敏感数据，可能被滥用或泄露。传统措施往往因实时数据处理需求和设备电力限制而失效。用户也缺乏对数据共享和使用的意识和控制。我们提出了一种面向可穿戴设备的隐私增强技术（PET）框架，整合了联邦学习、轻量级加密方法以及选择性部署的区块链技术。区块链仅在数据传输请求时作为安全账本触发，赋予用户实时通知和控制权。通过安全医疗数据共享、隐私保护的健身追踪和连续健康监测等实际应用，我们的框架将隐私风险降低高达70%，同时保持数据效用和性能。这一创新为可穿戴隐私树立了新基准，并可扩展到更广泛的物联网生态系统，包括智能家居和工业领域。随着数据持续塑造我们的数字景观，我们的研究强调在技术进步中必须将隐私和用户控制置于首位。
英文摘要：
In a world where data is the new currency, wearable health devices offer unprecedented insights into daily life, continuously monitoring vital signs and metrics. However, this convenience raises privacy concerns, as these devices collect sensitive data that can be misused or breached. Traditional measures often fail due to real-time data processing needs and limited device power. Users also lack awareness and control over data sharing and usage. We propose a Privacy-Enhancing Technology (PET) framework for wearable devices, integrating federated learning, lightweight cryptographic methods, and selectively deployed blockchain technology. The blockchain acts as a secure ledger triggered only upon data transfer requests, granting users real-time notifications and control. By dismantling data monopolies, this approach returns data sovereignty to individuals. Through real-world applications like secure medical data sharing, privacy-preserving fitness tracking, and continuous health monitoring, our framework reduces privacy risks by up to 70 percent while preserving data utility and performance. This innovation sets a new benchmark for wearable privacy and can scale to broader IoT ecosystems, including smart homes and industry. As data continues to shape our digital landscape, our research underscores the critical need to maintain privacy and user control at the forefront of technological progress.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
