Strategies for privacy negotiation in online social networks

Dilara Keküllüoǧlu; Nadin Kökciyan; Pinar Yolum

doi:10.1145/2970030.2970035

Strategies for privacy negotiation in online social networks

Dilara Keküllüoǧlu, Nadin Kökciyan, Pinar Yolum

Information and computing sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Preserving privacy of posts in online social networks is difficult. One reason for this is that a post can be related to the poster as well as various others that are related to the post. Hence, it is possible to share information that pertains others without their consent. This pathological situation often leads to privacy violations that are hard to revert. Recent approaches advocate use of agreement technologies to enable stakeholders of a post to discuss the privacy configurations of a post. This allows related individuals to express concerns so that various privacy violations are avoided up front. This paper continues in the same line by proposing to use negotiation for reaching privacy agreements among users and introduces a negotiation architecture that combines semantic privacy rules with utility functions. We study various negotiation strategies that are inspired from negotiations in e-commerce. We discuss meaningful metrics for measuring privacy negotiation outcomes. We compare various strategies on a benchmark set of scenarios, similar to the ones that appear in real life social networks.

Original language	English
Title of host publication	PrAISe 2016 - 1st International Workshop on Artificial Intelligence for Privacy and Security, Held at EUMAS 2016
Editors	Ozgur Kafali, Matin Rehak, Nadin Kokciyan, Pinar Yolum, Natalia Criado, Jose M. Such
Publisher	Association for Computing Machinery
ISBN (Electronic)	1595930361, 9781450343046
DOIs	https://doi.org/10.1145/2970030.2970035
Publication status	Published - 29 Aug 2016
Event	1st International Workshop on Artificial Intelligence for Privacy and Security, PrAISe 2016 - The Hague, Netherlands Duration: 29 Aug 2016 → 30 Aug 2016

Publication series

Name	ACM International Conference Proceeding Series
Volume	29-30-August-2016

Conference

Conference	1st International Workshop on Artificial Intelligence for Privacy and Security, PrAISe 2016
Country/Territory	Netherlands
City	The Hague
Period	29/08/16 → 30/08/16

Bibliographical note

Publisher Copyright:
© 2016 ACM.

Keywords

Agreement
Negotiation
Privacy

Access to Document

10.1145/2970030.2970035

Cite this

Keküllüoǧlu, D., Kökciyan, N., & Yolum, P. (2016). Strategies for privacy negotiation in online social networks. In O. Kafali, M. Rehak, N. Kokciyan, P. Yolum, N. Criado, & J. M. Such (Eds.), PrAISe 2016 - 1st International Workshop on Artificial Intelligence for Privacy and Security, Held at EUMAS 2016 Article 2970035 (ACM International Conference Proceeding Series; Vol. 29-30-August-2016). Association for Computing Machinery. https://doi.org/10.1145/2970030.2970035

Keküllüoǧlu, Dilara ; Kökciyan, Nadin ; Yolum, Pinar. / Strategies for privacy negotiation in online social networks. PrAISe 2016 - 1st International Workshop on Artificial Intelligence for Privacy and Security, Held at EUMAS 2016. editor / Ozgur Kafali ; Matin Rehak ; Nadin Kokciyan ; Pinar Yolum ; Natalia Criado ; Jose M. Such. Association for Computing Machinery, 2016. (ACM International Conference Proceeding Series).

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title = "Strategies for privacy negotiation in online social networks",

abstract = "Preserving privacy of posts in online social networks is difficult. One reason for this is that a post can be related to the poster as well as various others that are related to the post. Hence, it is possible to share information that pertains others without their consent. This pathological situation often leads to privacy violations that are hard to revert. Recent approaches advocate use of agreement technologies to enable stakeholders of a post to discuss the privacy configurations of a post. This allows related individuals to express concerns so that various privacy violations are avoided up front. This paper continues in the same line by proposing to use negotiation for reaching privacy agreements among users and introduces a negotiation architecture that combines semantic privacy rules with utility functions. We study various negotiation strategies that are inspired from negotiations in e-commerce. We discuss meaningful metrics for measuring privacy negotiation outcomes. We compare various strategies on a benchmark set of scenarios, similar to the ones that appear in real life social networks.",

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Keküllüoǧlu, D, Kökciyan, N & Yolum, P 2016, Strategies for privacy negotiation in online social networks. in O Kafali, M Rehak, N Kokciyan, P Yolum, N Criado & JM Such (eds), PrAISe 2016 - 1st International Workshop on Artificial Intelligence for Privacy and Security, Held at EUMAS 2016., 2970035, ACM International Conference Proceeding Series, vol. 29-30-August-2016, Association for Computing Machinery, 1st International Workshop on Artificial Intelligence for Privacy and Security, PrAISe 2016, The Hague, Netherlands, 29/08/16. https://doi.org/10.1145/2970030.2970035

Strategies for privacy negotiation in online social networks. / Keküllüoǧlu, Dilara; Kökciyan, Nadin; Yolum, Pinar.
PrAISe 2016 - 1st International Workshop on Artificial Intelligence for Privacy and Security, Held at EUMAS 2016. ed. / Ozgur Kafali; Matin Rehak; Nadin Kokciyan; Pinar Yolum; Natalia Criado; Jose M. Such. Association for Computing Machinery, 2016. 2970035 (ACM International Conference Proceeding Series; Vol. 29-30-August-2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Keküllüoǧlu, Dilara

AU - Kökciyan, Nadin

AU - Yolum, Pinar

PY - 2016/8/29

Y1 - 2016/8/29

N2 - Preserving privacy of posts in online social networks is difficult. One reason for this is that a post can be related to the poster as well as various others that are related to the post. Hence, it is possible to share information that pertains others without their consent. This pathological situation often leads to privacy violations that are hard to revert. Recent approaches advocate use of agreement technologies to enable stakeholders of a post to discuss the privacy configurations of a post. This allows related individuals to express concerns so that various privacy violations are avoided up front. This paper continues in the same line by proposing to use negotiation for reaching privacy agreements among users and introduces a negotiation architecture that combines semantic privacy rules with utility functions. We study various negotiation strategies that are inspired from negotiations in e-commerce. We discuss meaningful metrics for measuring privacy negotiation outcomes. We compare various strategies on a benchmark set of scenarios, similar to the ones that appear in real life social networks.

AB - Preserving privacy of posts in online social networks is difficult. One reason for this is that a post can be related to the poster as well as various others that are related to the post. Hence, it is possible to share information that pertains others without their consent. This pathological situation often leads to privacy violations that are hard to revert. Recent approaches advocate use of agreement technologies to enable stakeholders of a post to discuss the privacy configurations of a post. This allows related individuals to express concerns so that various privacy violations are avoided up front. This paper continues in the same line by proposing to use negotiation for reaching privacy agreements among users and introduces a negotiation architecture that combines semantic privacy rules with utility functions. We study various negotiation strategies that are inspired from negotiations in e-commerce. We discuss meaningful metrics for measuring privacy negotiation outcomes. We compare various strategies on a benchmark set of scenarios, similar to the ones that appear in real life social networks.

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Keküllüoǧlu D, Kökciyan N, Yolum P. Strategies for privacy negotiation in online social networks. In Kafali O, Rehak M, Kokciyan N, Yolum P, Criado N, Such JM, editors, PrAISe 2016 - 1st International Workshop on Artificial Intelligence for Privacy and Security, Held at EUMAS 2016. Association for Computing Machinery. 2016. 2970035. (ACM International Conference Proceeding Series). doi: 10.1145/2970030.2970035

Strategies for privacy negotiation in online social networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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