Negotiation for incentive driven privacy-preserving information sharing
Type :
Conference paper
Publication Status :
Published
Access :
restrictedAccess
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.
Source :
International Conference on Principles and Practice of Multi-Agent Systems PRIMA 2017
Date :
2017
Volume :
10621
Publisher :
Springer International Publishing
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