PRShare: A Framework for Privacy-preserving, Interorganizational Data Sharing

Abstract

We consider the task of interorganizational data sharing, in which data owners, data clients, and data subjects have different and sometimes competing privacy concerns. One real-world scenario in which this problem arises concerns law-enforcement use of phone-call metadata: The data owner is a phone company, the data clients are law-enforcement agencies, and the data subjects are individuals who make phone calls. A key challenge in this type of scenario is that each organization uses its own set of proprietary intraorganizational attributes to describe the shared data; such attributes cannot be shared with other organizations. Moreover, data-access policies are determined by multiple parties and may be specified using attributes that are not directly comparable with the ones used by the owner to specify the data.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 21, 2022
Source ID
10.1145/3531225

Entities

People

  • Joan Feigenbaum
  • Lihi Idan

Organizations

  • Hewlett Foundation
  • National Science Foundation
  • Office of Naval Research
  • Yale University

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Organizational Psychology.