IPPO: A Privacy-Aware Architecture for Decentralized Data-sharing

Authors: Maurizio Aiello, Enrico Cambiaso, Roberto Canonico, Leonardo Maccari, Marco Mellia, Antonio Pescapè, Ivan Vaccari
Published: 2020-01-17

Source: https://arxiv.org/abs/2001.06420

PDF: https://arxiv.org/pdf/2001.06420

AIにより推定されたラベル

プライバシー保護技術 ユーザビリティ 機械学習手法

※ こちらのラベルはAIによって自動的に追加されました。そのため、正確でないことがあります。
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Abstract

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.