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Negotiation for Incentive Driven Privacy-Preserving Information Sharing

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10621)

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.

Keywords

Data and information sharing Incentive-driven Secrecy and privacy risk Negotiation Privacy-preserving agent systems 

Notes

Acknowledgement

We would like to thank Murat Sensoy and Pinar Yolum for our fruitful discussions. This work was supported by the ITEA M2MGrids Project, ITEA141011.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Reyhan Aydoğan
    • 1
    • 2
    • 3
  • Pinar Øzturk
    • 4
  • Yousef Razeghi
    • 1
  1. 1.Department of Computer ScienceÖzyeğin UniversityIstanbulTurkey
  2. 2.Interactive Intelligence GroupDelft University of TechnologyDelftThe Netherlands
  3. 3.Frontier Research Institute for Information ScienceNagoya Institute of TechnologyNagoyaJapan
  4. 4.Norwegian University of Science and TechnologyTrondheimNorway

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