Towards Personal Data Sharing Autonomy:A Task-driven Data Capsule Sharing System
Qiuyun Lyu, Yilong Zhou, Yizhi Ren, Zhen Wang, and Yunchuan Guo

TL;DR
This paper proposes a novel task-driven data capsule system that enhances personal data sharing autonomy by enabling data owners to fully control, securely share, and revoke access to their data with strong security guarantees.
Contribution
It introduces a tamper-resistant data capsule paradigm and a task-driven sharing mechanism that supports selective sharing, immediate permission revocation, and resists collusion and EDoS attacks.
Findings
Proves the scheme's correctness, soundness, and security.
Demonstrates improved practicality over existing schemes.
Provides security and performance analysis confirming advantages.
Abstract
Personal data custodian services enable data owners to share their data with data consumers in a convenient manner, anytime and anywhere. However, with data hosted in these services being beyond the control of the data owners, it raises significant concerns about privacy in personal data sharing. Many schemes have been proposed to realize fine-grained access control and privacy protection in data sharing. However, they fail to protect the rights of data owners to their data under the law, since their designs focus on the management of system administrators rather than enhancing the data owners' privacy. In this paper, we introduce a novel task-driven personal data sharing system based on the data capsule paradigm realizing personal data sharing autonomy. It enables data owners in our system to fully control their data, and share it autonomously. Specifically, we present a…
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Taxonomy
TopicsAccess Control and Trust · Privacy-Preserving Technologies in Data · Privacy, Security, and Data Protection
