Privacy for Profitable Location Based Services

Tobias Kölsch; Lothar Fritsch; Markulf Kohlweiss; Dogan Kesdogan

doi:10.1007/978-3-540-32004-3_18

Privacy for Profitable Location Based Services

Tobias Kölsch, Lothar Fritsch, Markulf Kohlweiss, Dogan Kesdogan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Location based services (LBS) are distributed multi-party infrastructures with the opportunity to generate profitable m-business applications. Also, LBS pose a great risk for their users’ privacy, as they have access to private information about a person’s whereabouts in a particular context. As location data is the essential input for LBS, protection of privacy in LBS is not a problem of providing anonymity by supressing data release, but a problem of identity management and control over information handling. In this paper we show a solution that ensures a LBS user’s control over location information with managed identities. At the same time, our solution enables profitable business models, e.g. for mobile telephony operators. Additionally, we provide fine-grained consent management for the LBS user.

Original language	English
Title of host publication	Security in Pervasive Computing, Second International Conference, SPC 2005, Boppard, Germany, April 6-8, 2005, Proceedings
Publisher	Springer
Pages	164-178
Number of pages	15
ISBN (Electronic)	978-3-540-32004-3
ISBN (Print)	978-3-540-25521-5
DOIs	https://doi.org/10.1007/978-3-540-32004-3_18
Publication status	Published - 2005
Event	Second International Conference on Security in Pervasive Computing - Boppard, Germany Duration: 6 Apr 2005 → 8 Apr 2005

Conference

Conference	Second International Conference on Security in Pervasive Computing
Abbreviated title	SPC 2005
Country/Territory	Germany
City	Boppard
Period	6/04/05 → 8/04/05

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10.1007/978-3-540-32004-3_18

https://link.springer.com/chapter/10.1007%2F978-3-540-32004-3_18

Cite this

@inproceedings{5e3383598f7d4c1b876491917d3e5b0b,

title = "Privacy for Profitable Location Based Services",

abstract = "Location based services (LBS) are distributed multi-party infrastructures with the opportunity to generate profitable m-business applications. Also, LBS pose a great risk for their users{\textquoteright} privacy, as they have access to private information about a person{\textquoteright}s whereabouts in a particular context. As location data is the essential input for LBS, protection of privacy in LBS is not a problem of providing anonymity by supressing data release, but a problem of identity management and control over information handling. In this paper we show a solution that ensures a LBS user{\textquoteright}s control over location information with managed identities. At the same time, our solution enables profitable business models, e.g. for mobile telephony operators. Additionally, we provide fine-grained consent management for the LBS user.",

author = "Tobias K{\"o}lsch and Lothar Fritsch and Markulf Kohlweiss and Dogan Kesdogan",

year = "2005",

doi = "10.1007/978-3-540-32004-3_18",

language = "English",

isbn = "978-3-540-25521-5",

pages = "164--178",

booktitle = "Security in Pervasive Computing, Second International Conference, SPC 2005, Boppard, Germany, April 6-8, 2005, Proceedings",

publisher = "Springer",

note = "Second International Conference on Security in Pervasive Computing, SPC 2005 ; Conference date: 06-04-2005 Through 08-04-2005",

}

Kölsch, T, Fritsch, L, Kohlweiss, M & Kesdogan, D 2005, Privacy for Profitable Location Based Services. in Security in Pervasive Computing, Second International Conference, SPC 2005, Boppard, Germany, April 6-8, 2005, Proceedings. Springer, pp. 164-178, Second International Conference on Security in Pervasive Computing, Boppard, Germany, 6/04/05. https://doi.org/10.1007/978-3-540-32004-3_18

TY - GEN

T1 - Privacy for Profitable Location Based Services

AU - Kölsch, Tobias

AU - Fritsch, Lothar

AU - Kohlweiss, Markulf

AU - Kesdogan, Dogan

PY - 2005

Y1 - 2005

N2 - Location based services (LBS) are distributed multi-party infrastructures with the opportunity to generate profitable m-business applications. Also, LBS pose a great risk for their users’ privacy, as they have access to private information about a person’s whereabouts in a particular context. As location data is the essential input for LBS, protection of privacy in LBS is not a problem of providing anonymity by supressing data release, but a problem of identity management and control over information handling. In this paper we show a solution that ensures a LBS user’s control over location information with managed identities. At the same time, our solution enables profitable business models, e.g. for mobile telephony operators. Additionally, we provide fine-grained consent management for the LBS user.

AB - Location based services (LBS) are distributed multi-party infrastructures with the opportunity to generate profitable m-business applications. Also, LBS pose a great risk for their users’ privacy, as they have access to private information about a person’s whereabouts in a particular context. As location data is the essential input for LBS, protection of privacy in LBS is not a problem of providing anonymity by supressing data release, but a problem of identity management and control over information handling. In this paper we show a solution that ensures a LBS user’s control over location information with managed identities. At the same time, our solution enables profitable business models, e.g. for mobile telephony operators. Additionally, we provide fine-grained consent management for the LBS user.

U2 - 10.1007/978-3-540-32004-3_18

DO - 10.1007/978-3-540-32004-3_18

M3 - Conference contribution

SN - 978-3-540-25521-5

SP - 164

EP - 178

BT - Security in Pervasive Computing, Second International Conference, SPC 2005, Boppard, Germany, April 6-8, 2005, Proceedings

PB - Springer

T2 - Second International Conference on Security in Pervasive Computing

Y2 - 6 April 2005 through 8 April 2005

ER -

Privacy for Profitable Location Based Services

Abstract

Conference

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