Fuzzy logic decision based collaborative privacy management framework for online social networks

Gulsum Akkuzu; Benjamin Aziz; Mo Adda

doi:10.5220/0007702206740684

Fuzzy logic decision based collaborative privacy management framework for online social networks

Gulsum Akkuzu, Benjamin Aziz, Mo Adda

School of Computing

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

359 Downloads (Pure)

Abstract

Online Social Networks (OSNs) have become one of the most popular implement for interacting with people all over the world and sharing data with them. These data sometimes may be a co-owned data which involves multiple users, sharing co-owned data can cause privacy violation if co-owners are not happy with the owner's sharing privacy settings. To tackle privacy issues on co-owned data, collaborative privacy management has become a popular research area in recent years. In this work, we provide a fuzzy logic decision based collaborative privacy management framework for OSNs. We use data sensitivity value and confidence value in targeted group as input variables of fuzzy system. We also use trust values between users since our framework needs to calculate trust loss and gains for reputation value.

Original language	English
Title of host publication	Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ForSE 2019
Editors	Paolo Mori, Steven Furnell, Olivier Camp
Publisher	SciTePress
Pages	674-684
Number of pages	11
ISBN (Print)	978-989-758-359-9
DOIs	https://doi.org/10.5220/0007702206740684
Publication status	Published - 23 Feb 2019
Event	3rd International Workshop on FORmal methods for Security Engineering - Prague, Czech Republic Duration: 23 Feb 2019 → 25 Feb 2019 http://www.icissp.org/FORSE.aspx

Conference

Conference	3rd International Workshop on FORmal methods for Security Engineering
Abbreviated title	ForSE 2019
Country/Territory	Czech Republic
City	Prague
Period	23/02/19 → 25/02/19
Internet address	http://www.icissp.org/FORSE.aspx

Keywords

privacy management
fuzzy logic
online social networks
data security features

Access to Document

10.5220/0007702206740684

ICISSP19_Conference_Paper
Gulsum Akkuzu, Bejamin Aziz, Mo Adda (2019). 'Fuzzy Logic Decision based Collaborative Privacy Management Framework for Online Social Networks,' Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ForSE, ISBN 978-989-758-359-9, pages 674-684. DOI: 10.5220/0007702206740684.
Accepted author manuscript (Post-print), 294 KB

Cite this

@inproceedings{8407d0954a884b528e2d2913e963953b,

title = "Fuzzy logic decision based collaborative privacy management framework for online social networks",

abstract = "Online Social Networks (OSNs) have become one of the most popular implement for interacting with people all over the world and sharing data with them. These data sometimes may be a co-owned data which involves multiple users, sharing co-owned data can cause privacy violation if co-owners are not happy with the owner's sharing privacy settings. To tackle privacy issues on co-owned data, collaborative privacy management has become a popular research area in recent years. In this work, we provide a fuzzy logic decision based collaborative privacy management framework for OSNs. We use data sensitivity value and confidence value in targeted group as input variables of fuzzy system. We also use trust values between users since our framework needs to calculate trust loss and gains for reputation value.",

keywords = "privacy management, fuzzy logic, online social networks, data security features",

author = "Gulsum Akkuzu and Benjamin Aziz and Mo Adda",

year = "2019",

month = feb,

day = "23",

doi = "10.5220/0007702206740684",

language = "English",

isbn = "978-989-758-359-9",

pages = "674--684",

editor = "Paolo Mori and Steven Furnell and Olivier Camp",

booktitle = "Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ForSE 2019",

publisher = "SciTePress",

note = "3rd International Workshop on FORmal methods for Security Engineering, ForSE 2019 ; Conference date: 23-02-2019 Through 25-02-2019",

url = "http://www.icissp.org/FORSE.aspx",

}

Akkuzu, G, Aziz, B & Adda, M 2019, Fuzzy logic decision based collaborative privacy management framework for online social networks. in P Mori, S Furnell & O Camp (eds), Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ForSE 2019. SciTePress, pp. 674-684, 3rd International Workshop on FORmal methods for Security Engineering, Prague, Czech Republic, 23/02/19. https://doi.org/10.5220/0007702206740684

Fuzzy logic decision based collaborative privacy management framework for online social networks. / Akkuzu, Gulsum; Aziz, Benjamin; Adda, Mo.
Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ForSE 2019. ed. / Paolo Mori; Steven Furnell; Olivier Camp. SciTePress, 2019. p. 674-684.

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

TY - GEN

T1 - Fuzzy logic decision based collaborative privacy management framework for online social networks

AU - Akkuzu, Gulsum

AU - Aziz, Benjamin

AU - Adda, Mo

PY - 2019/2/23

Y1 - 2019/2/23

N2 - Online Social Networks (OSNs) have become one of the most popular implement for interacting with people all over the world and sharing data with them. These data sometimes may be a co-owned data which involves multiple users, sharing co-owned data can cause privacy violation if co-owners are not happy with the owner's sharing privacy settings. To tackle privacy issues on co-owned data, collaborative privacy management has become a popular research area in recent years. In this work, we provide a fuzzy logic decision based collaborative privacy management framework for OSNs. We use data sensitivity value and confidence value in targeted group as input variables of fuzzy system. We also use trust values between users since our framework needs to calculate trust loss and gains for reputation value.

AB - Online Social Networks (OSNs) have become one of the most popular implement for interacting with people all over the world and sharing data with them. These data sometimes may be a co-owned data which involves multiple users, sharing co-owned data can cause privacy violation if co-owners are not happy with the owner's sharing privacy settings. To tackle privacy issues on co-owned data, collaborative privacy management has become a popular research area in recent years. In this work, we provide a fuzzy logic decision based collaborative privacy management framework for OSNs. We use data sensitivity value and confidence value in targeted group as input variables of fuzzy system. We also use trust values between users since our framework needs to calculate trust loss and gains for reputation value.

KW - privacy management

KW - fuzzy logic

KW - online social networks

KW - data security features

UR - http://www.icissp.org/?y=2019

U2 - 10.5220/0007702206740684

DO - 10.5220/0007702206740684

M3 - Conference contribution

SN - 978-989-758-359-9

SP - 674

EP - 684

BT - Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ForSE 2019

A2 - Mori, Paolo

A2 - Furnell, Steven

A2 - Camp, Olivier

PB - SciTePress

T2 - 3rd International Workshop on FORmal methods for Security Engineering

Y2 - 23 February 2019 through 25 February 2019

ER -

Fuzzy logic decision based collaborative privacy management framework for online social networks

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this