IPPO: A Privacy-Aware Architecture for Decentralized Data-sharing
This addresses privacy concerns for internet users by offering a decentralized solution, though it appears incremental as it builds on existing concepts like blockchain and privacy labels.
The paper tackles the problem of user privacy violation by online trackers by proposing IPPO, a decentralized data-sharing architecture that re-empowers users through anonymized data publishing on a blockchain marketplace and includes a machine learning service to identify trackers and create privacy labels.
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.