IPPO：一种隐私感知的分布式数据共享体系结构
IPPO: A Privacy-Aware Architecture for Decentralized Data-sharing
摘要：
在线跟踪器个性化广告活动，与传统渠道相比，其功效呈指数级增长。这样做的缺点是，成千上万的大多数未知的系统拥有我们的个人资料，并在我们不知情的情况下侵犯我们的隐私。IPPO通过基于区块链的去中心化数据市场发布匿名数据，扭转局面，重新赋予用户数据的权力。我们还提出了一种基于机器学习和大数据分析的服务，以自动识别网络跟踪器并基于营养标签概念构建隐私标签（PL）。本文介绍了IPPO的动机、愿景、架构和研究挑战。
英文摘要：
Online trackers personalize ads campaigns, exponentially increasing their efficacy compared to traditional channels. The downside of this is that thousands of mostly unknown systems own our profiles and violate our privacy without our awareness. IPPO turns the table and re-empower users of their data, through anonymised data publishing via a Blockchain-based Decentralized Data Marketplace. We also propose a service based on machine learning and big data analytics to automatically identify web trackers and build Privacy Labels (PLs), based on the nutrition labels concept. This paper describes the motivation, the vision, the architecture and the research challenges related to IPPO.
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。
