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

Sanaz Kavianpour, Zuraini Ismail, Bharanidharan Shanmugam

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review


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 publicationRecent Advances in Information Systems and Technologies
EditorsLuis Paulo Reis, Sandra Costanzo, Alvaro Rocha, Hojjat Adeli, Ana Maria Correia
Place of PublicationCham, Switzerland
PublisherSpringer-Verlag London Ltd.
Number of pages11
ISBN (Electronic)9783319565354
ISBN (Print)9783319565347
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event5th World Conference on Information Systems and Technologies, WorldCIST - Porto Santo Island, Madeira, Portugal
Duration: 11 Apr 201713 Apr 2017

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


Conference5th World Conference on Information Systems and Technologies, WorldCIST
CityPorto Santo Island, Madeira

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