TY - GEN
T1 - Towards a privacy-preserving hybrid radio network
T2 - 15th International Conference on Innovations for Community Services, I4CS 2015
AU - Schonfeld, Mirco
AU - Werner, Martin
AU - Linnhoff-Popien, Claudia
AU - Erk, Alexander
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/7
Y1 - 2015/10/7
N2 - A large-scale system hundreds of millions of people encounter every day is radio. While this system has a tremendous reach it also is technologically outdated. Technological constraints offer great protection of listeners' privacy but prevent radio stations from implementing modern business models like personalization and mining valueable user information, at the same time. This paper describes a fully distributed system that aims at overcoming current technological constraints in interconnecting radio stations and their listeners while retaining a comparable protection of sensitive user data. Namely, a peerto-peer architecture with integrated data-mining-capabilities employing differential privacy is proposed. The system will offer personalizable radio programs to listeners and it will enable radio stations to gather valuable information about their listeners. Furthermore, this paper points out key challenges in deploying, bootstrapping and maintaining such a distributed system.
AB - A large-scale system hundreds of millions of people encounter every day is radio. While this system has a tremendous reach it also is technologically outdated. Technological constraints offer great protection of listeners' privacy but prevent radio stations from implementing modern business models like personalization and mining valueable user information, at the same time. This paper describes a fully distributed system that aims at overcoming current technological constraints in interconnecting radio stations and their listeners while retaining a comparable protection of sensitive user data. Namely, a peerto-peer architecture with integrated data-mining-capabilities employing differential privacy is proposed. The system will offer personalizable radio programs to listeners and it will enable radio stations to gather valuable information about their listeners. Furthermore, this paper points out key challenges in deploying, bootstrapping and maintaining such a distributed system.
KW - Information-centric networking
KW - content-delivery network
KW - personalization
KW - privacy-preserving data mining
UR - http://www.scopus.com/inward/record.url?scp=84954529563&partnerID=8YFLogxK
U2 - 10.1109/I4CS.2015.7294488
DO - 10.1109/I4CS.2015.7294488
M3 - Conference contribution
AN - SCOPUS:84954529563
T3 - 2015 15th International Conference on Innovations for Community Services, I4CS 2015
BT - 2015 15th International Conference on Innovations for Community Services, I4CS 2015
A2 - Erfurth, Christian
A2 - Eichler, Gerald
A2 - Eichler, Gerald
A2 - Roth, Jorg
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 July 2015 through 10 July 2015
ER -