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Towards PII-based Multiparty Access Control for Photo Sharing in Online Social Networks

Published: 07 June 2017 Publication History

Abstract

The privacy control models of current Online Social Networks (OSNs) are biased towards the content owners' policy settings. Additionally, those privacy policy settings are too coarse-grained to allow users to control access to individual portions of information that is related to them. Especially, in a shared photo in OSNs, there can exist multiple Personally Identifiable Information (PII) items belonging to a user appearing in the photo, which can compromise the privacy of the user if viewed by others. However, current OSNs do not provide users any means to control access to their individual PII items. As a result, there exists a gap between the level of control that current OSNs can provide to their users and the privacy expectations of the users. In this paper, we propose an approach to facilitate collaborative control of individual PII items for photo sharing over OSNs, where we shift our focus from entire photo level control to the control of individual PII items within shared photos. We formulate a PII-based multiparty access control model to fulfill the need for collaborative access control of PII items, along with a policy specification scheme and a policy enforcement mechanism. We also discuss a proof-of-concept prototype of our approach as part of an application in Facebook and provide system evaluation and usability study of our methodology.

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    cover image ACM Conferences
    SACMAT '17 Abstracts: Proceedings of the 22nd ACM on Symposium on Access Control Models and Technologies
    June 2017
    276 pages
    ISBN:9781450347020
    DOI:10.1145/3078861
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 07 June 2017

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    Author Tags

    1. access control
    2. multiparty
    3. online social networks
    4. pii
    5. privacy

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    SACMAT '17 Abstracts Paper Acceptance Rate 14 of 50 submissions, 28%;
    Overall Acceptance Rate 177 of 597 submissions, 30%

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    Cited By

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    • (2023)On the Potential of Mediation Chatbots for Mitigating Multiparty Privacy Conflicts - A Wizard-of-Oz StudyProceedings of the ACM on Human-Computer Interaction10.1145/35796187:CSCW1(1-33)Online publication date: 16-Apr-2023
    • (2023)Multiuser Privacy and Security Conflicts in the CloudProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581307(1-16)Online publication date: 19-Apr-2023
    • (2023)ESMAC: Efficient and Secure Multi-Owner Access Control With TEE in Multi-Level Data ProcessingIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.321597720:5(4052-4069)Online publication date: 1-Sep-2023
    • (2023)Go-Sharing: A Blockchain-Based Privacy-Preserving Framework for Cross-Social Network Photo SharingIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.320893420:5(3572-3587)Online publication date: 1-Sep-2023
    • (2023)“Do You Know You Are Tracked by Photos That You Didn’t Take”: Large-Scale Location-Aware Multi-Party Image Privacy ProtectionIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2021.313223020:1(301-312)Online publication date: 1-Jan-2023
    • (2023)Explaining the digital divide in the European Union: the complementary role of information security concerns in the social process of internet appropriationInformation Technology for Development10.1080/02681102.2023.220264029:4(665-691)Online publication date: 10-May-2023
    • (2023)On the Design of Privacy-Aware Cameras: A Study on Deep Neural NetworksComputer Vision – ECCV 2022 Workshops10.1007/978-3-031-25075-0_17(223-237)Online publication date: 19-Feb-2023
    • (2022)Evaluating Secure Methodology for Photo Sharing in Online Social NetworksApplied Sciences10.3390/app12231188912:23(11889)Online publication date: 22-Nov-2022
    • (2022)Characterizing and Detecting Non-Consensual Photo Sharing on Social NetworksProceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security10.1145/3548606.3560571(3209-3222)Online publication date: 7-Nov-2022
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