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Your love is public now: questioning the use of personal information in authentication

Authors:

Swapna Gottipati,

Debin GaoAuthors Info & Claims

ASIA CCS '13: Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security

Pages 49 - 60

https://doi.org/10.1145/2484313.2484319

Published: 08 May 2013 Publication History

Abstract

Most social networking platforms protect user's private information by limiting access to it to a small group of members, typically friends of the user, while allowing (virtually) everyone's access to the user's public data. In this paper, we exploit public data available on Facebook to infer users' undisclosed interests on their profile pages. In particular, we infer their undisclosed interests from the public data fetched using Graph APIs provided by Facebook. We demonstrate that simply liking a Facebook page does not corroborate that the user is interested in the page. Instead, we perform sentiment-oriented mining on various attributes of a Facebook page to determine the user's real interests. Our experiments conducted on over 34,000 public pages collected from Facebook and data from volunteers show that our inference technique can infer interests that are often hidden by users on their personal profile with moderate accuracy. We are able to disclose 22 interests of a user and find more than 80,097 users with at least 2 interests. We also show how this inferred information can be used to break a preference based backup authentication system.

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Cited By

Ma ZXu SLiu BCao J(2023)LPP2KL: Online Location Privacy Protection Against Knowing-and-Learning Attacks for LBSsIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.314207810:1(234-245)Online publication date: Feb-2023
https://doi.org/10.1109/TCSS.2022.3142078
Lou JZhang XZhang YLi XYuan XZhang N(2023)Devils in Your Apps: Vulnerabilities and User Privacy Exposure in Mobile Notification Systems2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)10.1109/DSN58367.2023.00017(28-41)Online publication date: Jun-2023
https://doi.org/10.1109/DSN58367.2023.00017
Piao YYe KCui X(2021)Privacy Inference Attack Against Users in Online Social Networks: A Literature ReviewIEEE Access10.1109/ACCESS.2021.30642089(40417-40431)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3064208
Show More Cited By

Index Terms

Your love is public now: questioning the use of personal information in authentication
1. Security and privacy
  1. Security services
    1. Authentication
  2. Systems security
    1. Operating systems security

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Information & Contributors

Information

Published In

cover image ACM Conferences

ASIA CCS '13: Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security

May 2013

574 pages

ISBN:9781450317672

DOI:10.1145/2484313

General Chairs:
Kefei Chen
Shanghai Jiao Tong University, China
,
Qi Xie
Hangzhou Normal University, China
,
Weidong Qiu
Shanghai Jiao Tong University, China
,
Program Chairs:
Ninghui Li
Purdue University, USA
,
Wen-Guey Tzeng
National Chiao Tung University, Taiwan

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 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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SIGSAC: ACM Special Interest Group on Security, Audit, and Control

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 May 2013

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ASIA CCS '13

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SIGSAC

ASIA CCS '13: 8th ACM Symposium on Information, Computer and Communications Security

May 8 - 10, 2013

Hangzhou, China

Acceptance Rates

ASIA CCS '13 Paper Acceptance Rate 35 of 216 submissions, 16%;

Overall Acceptance Rate 418 of 2,322 submissions, 18%

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Cited By

Ma ZXu SLiu BCao J(2023)LPP2KL: Online Location Privacy Protection Against Knowing-and-Learning Attacks for LBSsIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.314207810:1(234-245)Online publication date: Feb-2023
https://doi.org/10.1109/TCSS.2022.3142078
Lou JZhang XZhang YLi XYuan XZhang N(2023)Devils in Your Apps: Vulnerabilities and User Privacy Exposure in Mobile Notification Systems2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)10.1109/DSN58367.2023.00017(28-41)Online publication date: Jun-2023
https://doi.org/10.1109/DSN58367.2023.00017
Piao YYe KCui X(2021)Privacy Inference Attack Against Users in Online Social Networks: A Literature ReviewIEEE Access10.1109/ACCESS.2021.30642089(40417-40431)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3064208
Micallef NArachchilage N(2021)Understanding users’ perceptions to improve fallback authenticationPersonal and Ubiquitous Computing10.1007/s00779-021-01571-yOnline publication date: 23-May-2021
https://doi.org/10.1007/s00779-021-01571-y
Mao JTian WYang YLiu J(2019)An Efficient Social Attribute Inference Scheme Based on Social Links and Attribute RelevanceIEEE Access10.1109/ACCESS.2019.2946179(1-1)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2946179
Du TTao TLiu BJin XLi JJi S(2019)You Are What You Search: Attribute Inference Attacks Through Web Search QueriesSecurity with Intelligent Computing and Big-data Services10.1007/978-3-030-16946-6_27(343-358)Online publication date: 17-Apr-2019
https://doi.org/10.1007/978-3-030-16946-6_27
Gong NLiu B(2018)Attribute Inference Attacks in Online Social NetworksACM Transactions on Privacy and Security10.1145/315479321:1(1-30)Online publication date: 2-Jan-2018
https://doi.org/10.1145/3154793
Jia JWang BZhang LGong NBarrett RCummings RAgichtein EGabrilovich E(2017)AttriInferProceedings of the 26th International Conference on World Wide Web10.1145/3038912.3052695(1561-1569)Online publication date: 3-Apr-2017
https://dl.acm.org/doi/10.1145/3038912.3052695
Hang ADe Luca AHussmann HBegole BKim JInkpen KWoo W(2015)I Know What You Did Last Week! Do You?Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems10.1145/2702123.2702131(1383-1392)Online publication date: 18-Apr-2015
https://dl.acm.org/doi/10.1145/2702123.2702131

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