Classification of third-party applications on Facebook to mitigate users' information leakage

Sanaz Kavianpour; Zuraini Ismail; Bharanidharan Shanmugam

doi:10.1007/978-3-319-56535-4_15

Classification of third-party applications on Facebook to mitigate users' information leakage

Sanaz Kavianpour^*, Zuraini Ismail, Bharanidharan Shanmugam

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Facebook is significant platform for third-party developers to run written applications in order to provide users extra functionality and services. Third-party applications (TPAs) access to user’s profile and exchange their information. In doing so, this may lead to information leakage and privacy risks. Although Facebook has control over third-party applications, it still lacks control in the existing mechanisms. The aim of this paper is to investigate how to hinder TPAs from accessing user’s private information while still sustaining the functionality of the applications. To address privacy and functionality simultaneously, this study suggests a classification framework providing mechanism in controlling TPAs access to the users’ data residing on Facebook. The improved framework allows TPAs to utilize some of users’ data according to their classification authority to mitigate users’ information leakage.

Original language	English
Title of host publication	WorldCIST 2017
Subtitle of host publication	Recent Advances in Information Systems and Technologies
Editors	Álvaro Rocha, Ana Maria Correia, Hojjat Adeli, Luís Paulo Reis, Sandra Costanzo
Place of Publication	Cham
Publisher	Springer
Pages	144-154
Number of pages	11
Volume	1
ISBN (Electronic)	9783319565354
ISBN (Print)	9783319565347
DOIs	https://doi.org/10.1007/978-3-319-56535-4_15
Publication status	Published - 29 Mar 2017
Externally published	Yes
Event	5th World Conference on Information Systems and Technologies - Porto Santo Cultural and Congress Centre, Porto Santo Island, Madeira, Portugal Duration: 11 Apr 2017 → 13 Apr 2017 Conference number: 5th http://www.worldcist.org/2017/

Publication series

Name	Advances in Intelligent Systems and Computing (AISC)
Publisher	Springer
Volume	569
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	5th World Conference on Information Systems and Technologies
Abbreviated title	WorldCIST'17
Country/Territory	Portugal
Period	11/04/17 → 13/04/17
Internet address	http://www.worldcist.org/2017/

Keywords

Classification
Online social networks
Privacy
Third-party applications

Access to Document

10.1007/978-3-319-56535-4_15

Sanaz Kavianpour
- s520574uad.acuk
- Division of Cybersecurity - Lecturer
Person: Academic

Cite this

Kavianpour, S., Ismail, Z., & Shanmugam, B. (2017). Classification of third-party applications on Facebook to mitigate users' information leakage. In Á. Rocha, A. M. Correia, H. Adeli, L. P. Reis, & S. Costanzo (Eds.), WorldCIST 2017: Recent Advances in Information Systems and Technologies (Vol. 1, pp. 144-154). (Advances in Intelligent Systems and Computing (AISC); Vol. 569). Springer. https://doi.org/10.1007/978-3-319-56535-4_15

Kavianpour, Sanaz ; Ismail, Zuraini ; Shanmugam, Bharanidharan. / Classification of third-party applications on Facebook to mitigate users' information leakage. WorldCIST 2017: Recent Advances in Information Systems and Technologies. editor / Álvaro Rocha ; Ana Maria Correia ; Hojjat Adeli ; Luís Paulo Reis ; Sandra Costanzo. Vol. 1 Cham : Springer, 2017. pp. 144-154 (Advances in Intelligent Systems and Computing (AISC)).

@inproceedings{efdeb353f5394c01a1dc2a35deee6318,

title = "Classification of third-party applications on Facebook to mitigate users' information leakage",

abstract = "Facebook is significant platform for third-party developers to run written applications in order to provide users extra functionality and services. Third-party applications (TPAs) access to user{\textquoteright}s profile and exchange their information. In doing so, this may lead to information leakage and privacy risks. Although Facebook has control over third-party applications, it still lacks control in the existing mechanisms. The aim of this paper is to investigate how to hinder TPAs from accessing user{\textquoteright}s private information while still sustaining the functionality of the applications. To address privacy and functionality simultaneously, this study suggests a classification framework providing mechanism in controlling TPAs access to the users{\textquoteright} data residing on Facebook. The improved framework allows TPAs to utilize some of users{\textquoteright} data according to their classification authority to mitigate users{\textquoteright} information leakage.",

author = "Sanaz Kavianpour and Zuraini Ismail and Bharanidharan Shanmugam",

year = "2017",

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doi = "10.1007/978-3-319-56535-4_15",

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series = "Advances in Intelligent Systems and Computing (AISC)",

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editor = "{\'A}lvaro Rocha and Correia, {Ana Maria} and Hojjat Adeli and Reis, {Lu{\'i}s Paulo} and Sandra Costanzo",

booktitle = "WorldCIST 2017",

note = "5th World Conference on Information Systems and Technologies, WorldCIST'17 ; Conference date: 11-04-2017 Through 13-04-2017",

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Kavianpour, S, Ismail, Z & Shanmugam, B 2017, Classification of third-party applications on Facebook to mitigate users' information leakage. in Á Rocha, AM Correia, H Adeli, LP Reis & S Costanzo (eds), WorldCIST 2017: Recent Advances in Information Systems and Technologies. vol. 1, Advances in Intelligent Systems and Computing (AISC), vol. 569, Springer, Cham, pp. 144-154, 5th World Conference on Information Systems and Technologies, Portugal, 11/04/17. https://doi.org/10.1007/978-3-319-56535-4_15

Classification of third-party applications on Facebook to mitigate users' information leakage. / Kavianpour, Sanaz; Ismail, Zuraini; Shanmugam, Bharanidharan.

WorldCIST 2017: Recent Advances in Information Systems and Technologies. ed. / Álvaro Rocha; Ana Maria Correia; Hojjat Adeli; Luís Paulo Reis; Sandra Costanzo. Vol. 1 Cham : Springer, 2017. p. 144-154 (Advances in Intelligent Systems and Computing (AISC); Vol. 569).

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

TY - GEN

T1 - Classification of third-party applications on Facebook to mitigate users' information leakage

AU - Kavianpour, Sanaz

AU - Ismail, Zuraini

AU - Shanmugam, Bharanidharan

N1 - Conference code: 5th

PY - 2017/3/29

Y1 - 2017/3/29

N2 - Facebook is significant platform for third-party developers to run written applications in order to provide users extra functionality and services. Third-party applications (TPAs) access to user’s profile and exchange their information. In doing so, this may lead to information leakage and privacy risks. Although Facebook has control over third-party applications, it still lacks control in the existing mechanisms. The aim of this paper is to investigate how to hinder TPAs from accessing user’s private information while still sustaining the functionality of the applications. To address privacy and functionality simultaneously, this study suggests a classification framework providing mechanism in controlling TPAs access to the users’ data residing on Facebook. The improved framework allows TPAs to utilize some of users’ data according to their classification authority to mitigate users’ information leakage.

AB - Facebook is significant platform for third-party developers to run written applications in order to provide users extra functionality and services. Third-party applications (TPAs) access to user’s profile and exchange their information. In doing so, this may lead to information leakage and privacy risks. Although Facebook has control over third-party applications, it still lacks control in the existing mechanisms. The aim of this paper is to investigate how to hinder TPAs from accessing user’s private information while still sustaining the functionality of the applications. To address privacy and functionality simultaneously, this study suggests a classification framework providing mechanism in controlling TPAs access to the users’ data residing on Facebook. The improved framework allows TPAs to utilize some of users’ data according to their classification authority to mitigate users’ information leakage.

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DO - 10.1007/978-3-319-56535-4_15

M3 - Conference contribution

SN - 9783319565347

VL - 1

T3 - Advances in Intelligent Systems and Computing (AISC)

SP - 144

EP - 154

BT - WorldCIST 2017

A2 - Rocha, Álvaro

A2 - Correia, Ana Maria

A2 - Adeli, Hojjat

A2 - Reis, Luís Paulo

A2 - Costanzo, Sandra

PB - Springer

CY - Cham

T2 - 5th World Conference on Information Systems and Technologies

Y2 - 11 April 2017 through 13 April 2017

ER -

Kavianpour S, Ismail Z, Shanmugam B. Classification of third-party applications on Facebook to mitigate users' information leakage. In Rocha Á, Correia AM, Adeli H, Reis LP, Costanzo S, editors, WorldCIST 2017: Recent Advances in Information Systems and Technologies. Vol. 1. Cham: Springer. 2017. p. 144-154. (Advances in Intelligent Systems and Computing (AISC)). Epub 2017 Mar 28. doi: 10.1007/978-3-319-56535-4_15

Classification of third-party applications on Facebook to mitigate users' information leakage

Abstract

Publication series

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Keywords

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Sanaz Kavianpour

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