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Social networks and context-aware spam

Published: 08 November 2008 Publication History

Abstract

Social networks are popular for online communities. This paper evaluates the risk of sophisticated context-aware spam that could result from information sharing on social networks and discusses potential mitigation strategies. Unlike normal spam, context-aware spam would likely have a high click-through rate due to exploitation of authentic social connections. Context-aware spam could lead to more insidious attacks that try to install malware or steal passwords. In this paper, we analyzed Facebook, a popular social networking website. Our goal was to determine how many users were vulnerable to context-aware attack email and understand aspects of Facebook's design that make such attacks possible. We also classified different kinds of email attacks based on certain pieces of data such as birthdays, lists of friends, wall posts, and user news feeds. We analyzed Facebook starting from a single university e-mail address to calculate the number of users who would be vulnerable to each type of attack. We found that a hacker could send sophisticated context-aware email to approximately 85% of users. Furthermore, our analysis shows that people with private profiles are almost equally vulnerable to a subset of attacks. Finally, we discuss defense strategies. Some strategies would require users to coordinate their privacy policies with each other. We also suggest design improvements for social networks that may help reduce exposure to context-aware attack email.

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Cited By

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  • (2024)What is my privacy score? Measuring users’ privacy on social networking websitesElectronic Commerce Research10.1007/s10660-023-09796-0Online publication date: 1-Feb-2024
  • (2023)Spammy Names Detection in Pashto Language to Prevent Fake Accounts Creation on Social Media2023 8th International Conference on Signal and Image Processing (ICSIP)10.1109/ICSIP57908.2023.10270845(614-618)Online publication date: 8-Jul-2023
  • (2020)SOCIAL ENGINEERING AS AN EVOLUTIONARY THREAT TO INFORMATION SECURITY IN HEALTHCARE ORGANIZATIONSJurnal Administrasi Kesehatan Indonesia10.20473/jaki.v8i1.2020.56-648:1(56)Online publication date: 28-Mar-2020
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cover image ACM Conferences
CSCW '08: Proceedings of the 2008 ACM conference on Computer supported cooperative work
November 2008
752 pages
ISBN:9781605580074
DOI:10.1145/1460563
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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Publication History

Published: 08 November 2008

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Author Tags

  1. email
  2. facebook
  3. privacy
  4. social networks
  5. spam

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CSCW08
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CSCW08: Computer Supported Cooperative Work
November 8 - 12, 2008
CA, San Diego, USA

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Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

View all
  • (2024)What is my privacy score? Measuring users’ privacy on social networking websitesElectronic Commerce Research10.1007/s10660-023-09796-0Online publication date: 1-Feb-2024
  • (2023)Spammy Names Detection in Pashto Language to Prevent Fake Accounts Creation on Social Media2023 8th International Conference on Signal and Image Processing (ICSIP)10.1109/ICSIP57908.2023.10270845(614-618)Online publication date: 8-Jul-2023
  • (2020)SOCIAL ENGINEERING AS AN EVOLUTIONARY THREAT TO INFORMATION SECURITY IN HEALTHCARE ORGANIZATIONSJurnal Administrasi Kesehatan Indonesia10.20473/jaki.v8i1.2020.56-648:1(56)Online publication date: 28-Mar-2020
  • (2020)A Study of Friend Abuse Perception in FacebookACM Transactions on Social Computing10.1145/34080403:4(1-34)Online publication date: 28-Sep-2020
  • (2020)An Efficient SecureU Application to Detect Malicious Applications in Social Media Networks2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS)10.1109/ICACCS48705.2020.9074169(1169-1175)Online publication date: Mar-2020
  • (2019)Page Cache AttacksProceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security10.1145/3319535.3339809(167-180)Online publication date: 6-Nov-2019
  • (2019)Game Theoretic Suppression of Forged Messages in Online Social NetworksIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2019.2899626(1-11)Online publication date: 2019
  • (2019)Co-Detection of crowdturfing microblogs and spammers in online social networksWorld Wide Web10.1007/s11280-019-00727-423:1(573-607)Online publication date: 23-Oct-2019
  • (2018)The Evolution of Contextual Information Processing in InformaticsInformation10.3390/info90300479:3(47)Online publication date: 27-Feb-2018
  • (2018)Training Future Cybersecurity Professionals in Spear Phishing using SiEVEProceedings of the 19th Annual SIG Conference on Information Technology Education10.1145/3241815.3241871(135-140)Online publication date: 14-Sep-2018
  • Show More Cited By

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