Strategies for Privacy Negotiation in Online Social Networks

Dilara Keküllüoglu; Nadin Kökciyan; Pinar Yolum

doi:10.1145/2970030.2970035

Strategies for Privacy Negotiation in Online Social Networks

Dilara Keküllüoglu, Nadin Kökciyan, Pinar Yolum

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

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	Proceedings of the 1st International Workshop on AI for Privacy and Security (PrAISe)
Publisher	Association for Computing Machinery (ACM)
Pages	2:1-2:8
Number of pages	8
ISBN (Print)	978-1-4503-4304-6
DOIs	https://doi.org/10.1145/2970030.2970035
Publication status	Published - 29 Aug 2016
Event	1st International Workshop on AI for Privacy and Security - The Hague, Netherlands Duration: 29 Aug 2016 → 30 Aug 2016 http://mas.cmpe.boun.edu.tr/praise2016/

Workshop

Workshop	1st International Workshop on AI for Privacy and Security
Abbreviated title	PRAISE 2016
Country/Territory	Netherlands
City	The Hague
Period	29/08/16 → 30/08/16
Internet address	http://mas.cmpe.boun.edu.tr/praise2016/

Keywords / Materials (for Non-textual outputs)

Security and privacy
Social network security and privacy
Computing methodologies
Multi-agent systems
Privacy
Agreement
Negotiation

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10.1145/2970030.2970035Licence: All Rights Reserved

https://dl.acm.org/citation.cfm?id=2970035Licence: All Rights Reserved

Cite this

@inproceedings{eaf82cf4870445a29cb188dea3992d11,

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.",

keywords = "Security and privacy, Social network security and privacy, Computing methodologies, Multi-agent systems, Privacy, Agreement, Negotiation",

author = "Dilara Kek{\"u}ll{\"u}oglu and Nadin K{\"o}kciyan and Pinar Yolum",

year = "2016",

month = aug,

day = "29",

doi = "10.1145/2970030.2970035",

language = "English",

isbn = "978-1-4503-4304-6",

pages = "2:1--2:8",

booktitle = "Proceedings of the 1st International Workshop on AI for Privacy and Security (PrAISe)",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "1st International Workshop on AI for Privacy and Security , PRAISE 2016 ; Conference date: 29-08-2016 Through 30-08-2016",

url = "http://mas.cmpe.boun.edu.tr/praise2016/",

}

Keküllüoglu, D, Kökciyan, N & Yolum, P 2016, Strategies for Privacy Negotiation in Online Social Networks. in Proceedings of the 1st International Workshop on AI for Privacy and Security (PrAISe)., 2, Association for Computing Machinery (ACM), pp. 2:1-2:8, 1st International Workshop on AI for Privacy and Security , The Hague, Netherlands, 29/08/16. https://doi.org/10.1145/2970030.2970035

TY - GEN

T1 - Strategies for Privacy Negotiation in Online Social Networks

AU - Keküllüoglu, 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.

KW - Security and privacy

KW - Social network security and privacy

KW - Computing methodologies

KW - Multi-agent systems

KW - Privacy

KW - Agreement

KW - Negotiation

U2 - 10.1145/2970030.2970035

DO - 10.1145/2970030.2970035

M3 - Conference contribution

SN - 978-1-4503-4304-6

SP - 2:1-2:8

BT - Proceedings of the 1st International Workshop on AI for Privacy and Security (PrAISe)

PB - Association for Computing Machinery (ACM)

T2 - 1st International Workshop on AI for Privacy and Security

Y2 - 29 August 2016 through 30 August 2016

ER -

Strategies for Privacy Negotiation in Online Social Networks

Abstract

Workshop

Keywords / Materials (for Non-textual outputs)

Access to Document

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Cite this