Negotiation for Incentive Driven Privacy-Preserving Information Sharing

Conference Paper (2017)
Author(s)

Reyhan Aydoğan (TU Delft - Interactive Intelligence, Özyeğin University)

Pinar Özturk (Norwegian University of Science and Technology (NTNU))

Yousef Razeghi (Özyeğin University)

Research Group
Interactive Intelligence
DOI related publication
https://doi.org/10.1007/978-3-319-69131-2_31
More Info
expand_more
Publication Year
2017
Language
English
Research Group
Interactive Intelligence
Pages (from-to)
486-494
ISBN (print)
978-3-319-69130-5

Abstract

This paper describes an agent-based, incentive-driven, and privacy-preserving information sharing framework. Main contribution of the paper is to give the data provider agent an active role in the information sharing process and to change the currently asymmetric position between the provider and the requester of data and information (DI) to the favor of the DI provider. Instead of a binary yes/no answer to the requester’s data request and the incentive offer, the provider may negotiate about excluding from the requested DI bundle certain pieces of DI with high privacy value, and/or ask for a different type of incentive. We show the presented approach on a use case. However, the proposed architecture is domain independent.

No files available

Metadata only record. There are no files for this record.