论文标题
IPPO：用于分散数据共存的隐私感知体系结构
IPPO: A Privacy-Aware Architecture for Decentralized Data-sharing
论文作者
论文摘要
在线跟踪器个性化广告活动，与传统渠道相比，其功效呈指数增长。这样做的缺点是，成千上万的主要未知系统拥有我们的个人资料，并在没有我们的意识的情况下侵犯了我们的隐私。 IPPO通过基于区块链的分散数据市场来匿名数据发布，然后重新启动其数据的用户。我们还建议基于机器学习和大数据分析的服务，以根据营养标签概念自动识别网络跟踪器并建立隐私标签（PLS）。本文描述了与IPPO相关的动机，愿景，建筑和研究挑战。
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.
