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Cryptagram: photo privacy for online social media

Authors:

Christoph Bregler,

Lakshminarayanan SubramanianAuthors Info & Claims

COSN '13: Proceedings of the first ACM conference on Online social networks

Pages 75 - 88

https://doi.org/10.1145/2512938.2512939

Published: 07 October 2013 Publication History

Abstract

While Online Social Networks (OSNs) enable users to share photos easily, they also expose users to several privacy threats from both the OSNs and external entities. The current privacy controls on OSNs are far from adequate, resulting in inappropriate flows of information when users fail to understand their privacy settings or OSNs fail to implement policies correctly. OSNs may further complicate privacy expectations when they reserve the right to analyze uploaded photos using automated face identification techniques.

In this paper, we propose the design, implementation and evaluation of Cryptagram, a system designed to enhance online photo privacy. Cryptagram enables users to convert photos into encrypted images, which the users upload to OSNs. Users directly manage access control to those photos via shared keys that are independent of OSNs or other third parties. OSNs apply standard image transformations (JPEG compression) to all uploaded images so Cryptagram provides an image encoding and encryption mechanism that is tolerant to these transformations. Cryptagram guarantees that the recipient with the right credentials can completely retrieve the original image from the transformed version of the uploaded encrypted image while the OSN cannot infer the original image. Cryptagram's browser extension integrates seamlessly with preexisting OSNs, including Facebook and Google+, and currently has over 400 active users.

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Cited By

Zhang LStangl ASharma TTseng YXu IGurari DWang YFindlater L(2024)Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642713(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642713
Cai J(2024)Image sensitive identification and protection based on semantic segmentationThird International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024)10.1117/12.3031222(213)Online publication date: 19-Jul-2024
https://doi.org/10.1117/12.3031222
Luo YChen YDou HTan CZhou H(2024)Enhancing privacy management protection through secure and efficient processing of image information based on the fine-grained thumbnail-preserving encryptionInformation Processing & Management10.1016/j.ipm.2024.10378961:5(103789)Online publication date: Sep-2024
https://doi.org/10.1016/j.ipm.2024.103789
Show More Cited By

Index Terms

Cryptagram: photo privacy for online social media
1. Security and privacy
  1. Human and societal aspects of security and privacy
2. Social and professional topics
  1. Computing / technology policy
    1. Privacy policies

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Information

Published In

cover image ACM Conferences

COSN '13: Proceedings of the first ACM conference on Online social networks

October 2013

254 pages

ISBN:9781450320849

DOI:10.1145/2512938

General Chair:
Muthu Muthukrishnan
Microsoft & Rutgers University, USA
,
Program Chairs:
Amr El Abbadi
UC Santa Barbara, USA
,
Balachander Krishnamurthy
AT&T Labs-Research, USA

Copyright © 2013 ACM.

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 the author(s) 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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New York, NY, United States

Publication History

Published: 07 October 2013

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COSN'13

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COSN'13: Conference on Online Social Networks

October 7 - 8, 2013

Massachusetts, Boston, USA

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COSN '13 Paper Acceptance Rate 22 of 138 submissions, 16%;

Overall Acceptance Rate 69 of 307 submissions, 22%

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Cited By

Zhang LStangl ASharma TTseng YXu IGurari DWang YFindlater L(2024)Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642713(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642713
Cai J(2024)Image sensitive identification and protection based on semantic segmentationThird International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024)10.1117/12.3031222(213)Online publication date: 19-Jul-2024
https://doi.org/10.1117/12.3031222
Luo YChen YDou HTan CZhou H(2024)Enhancing privacy management protection through secure and efficient processing of image information based on the fine-grained thumbnail-preserving encryptionInformation Processing & Management10.1016/j.ipm.2024.10378961:5(103789)Online publication date: Sep-2024
https://doi.org/10.1016/j.ipm.2024.103789
Fischer-Hübner SKaregar FFischer-Hübner SKaregar F(2024)Overview of Usable Privacy Research: Major Themes and Research DirectionsThe Curious Case of Usable Privacy10.1007/978-3-031-54158-2_3(43-102)Online publication date: 20-Mar-2024
https://doi.org/10.1007/978-3-031-54158-2_3
Zhang j(2023)A thumbnail preserving encryption scheme based on bit plane scramblingSecond International Symposium on Computer Applications and Information Systems (ISCAIS 2023)10.1117/12.2683415(30)Online publication date: 26-Jun-2023
https://doi.org/10.1117/12.2683415
Liu CZhu TZhang JZhou W(2022)Privacy Intelligence: A Survey on Image Privacy in Online Social NetworksACM Computing Surveys10.1145/354729955:8(1-35)Online publication date: 23-Dec-2022
https://dl.acm.org/doi/10.1145/3547299
Li YCaine K(2022)Obfuscation Remedies Harms Arising from Content Flagging of PhotosProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517520(1-25)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517520
Yang CWeng CYang Y(2022)TPEIPJournal of Information Security and Applications10.1016/j.jisa.2022.10335270:COnline publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1016/j.jisa.2022.103352
Li YGui X(2022)Examining Co-Owners’ Privacy Consideration in Collaborative Photo SharingComputer Supported Cooperative Work (CSCW)10.1007/s10606-021-09421-4Online publication date: 17-Jan-2022
https://doi.org/10.1007/s10606-021-09421-4
Wang YChai XGan ZZhang YChen XHe X(2022)TPE-ISE: approximate thumbnail preserving encryption based on multilevel DWT information self-embeddingApplied Intelligence10.1007/s10489-022-03597-y53:4(4027-4046)Online publication date: 4-Jun-2022
https://doi.org/10.1007/s10489-022-03597-y
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