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 proceedingConference contribution

2 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 languageEnglish
Title of host publicationWorldCIST 2017
Subtitle of host publicationRecent Advances in Information Systems and Technologies
EditorsÁlvaro Rocha, Ana Maria Correia, Hojjat Adeli, Luís Paulo Reis, Sandra Costanzo
Place of PublicationCham
PublisherSpringer
Pages144-154
Number of pages11
Volume1
ISBN (Electronic)9783319565354
ISBN (Print)9783319565347
DOIs
Publication statusPublished - 29 Mar 2017
Externally publishedYes
Event5th World Conference on Information Systems and Technologies - Porto Santo Cultural and Congress Centre, Porto Santo Island, Madeira, Portugal
Duration: 11 Apr 201713 Apr 2017
Conference number: 5th
http://www.worldcist.org/2017/

Publication series

NameAdvances in Intelligent Systems and Computing (AISC)
PublisherSpringer
Volume569
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference5th World Conference on Information Systems and Technologies
Abbreviated titleWorldCIST'17
CountryPortugal
Period11/04/1713/04/17
Internet address

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). Cham: 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)).
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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’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.",
author = "Sanaz Kavianpour and Zuraini Ismail and Bharanidharan Shanmugam",
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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",
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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 proceedingConference contribution

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

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AU - Ismail, Zuraini

AU - Shanmugam, Bharanidharan

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.

U2 - 10.1007/978-3-319-56535-4_15

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

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SN - 9783319565347

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T3 - Advances in Intelligent Systems and Computing (AISC)

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EP - 154

BT - WorldCIST 2017

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A2 - Correia, Ana Maria

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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)). https://doi.org/10.1007/978-3-319-56535-4_15