other

Helping Users Understand Their Web Footprints

Authors:

Elchin AsgarliAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 117 - 118

https://doi.org/10.1145/2740908.2742763

Published: 18 May 2015 Publication History

Get Access

Abstract

To help users better understand the potential risks associated with publishing data publicly, and the types of data that can be inferred by combining data from multiple online sources, we introduce a novel information exposure detection framework that generates and analyzes the web footprints users leave across the social web. We propose to use probabilistic operators, free text attribute extraction, and a population-based inference engine to generate the web footprints. Evaluation over public profiles from multiple sites shows that our framework successfully detects and quantifies information exposure using a small amount of non-sensitive initial knowledge.

References

[1]

O. Goga, H. Lei, S. H. K. Parthasarathi, G. Friedland, R. Sommer, and R. Teixeira. Exploiting Innocuous Activity for Correlating Users Across Sites. In WWW, 2013.

Digital Library

Google Scholar

[2]

M. Humbert, T. Studer, M. Grossglauser, and J.-P. Hubaux. Nowhere to Hide: Navigating around Privacy in Online Social Networks. In ESORICS, 2013.

Crossref

Google Scholar

[3]

T. Iofciu, P. Fankhauser, F. Abel, and K. Bischoff. Identifying Users Across Social Tagging Systems. In ICWSM, 2011.

Google Scholar

[4]

P. Jain, P. Kumaraguru, and A. Joshi. @I Seek 'fb.me': Identifying Users Across Multiple Online Social Networks. In WoLE, 2013.

Digital Library

Google Scholar

[5]

A. Malhotra, L. Totti, W. Meira Jr., P. Kumaraguru, and V. Almeida. Studying User Footprints in Different Online Social Networks. In ASONAM, 2012.

Digital Library

Google Scholar

Cited By

View all

Zhu JZhang SSingh LYang GSherr MSubrahmanian VRokne JKumar RCaverlee JTong H(2016)Generating risk reduction recommendations to decrease vulnerability of public online profilesProceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.5555/3192424.3192500(411-416)Online publication date: 18-Aug-2016
https://dl.acm.org/doi/10.5555/3192424.3192500
Zhu JZhang SSingh LYang GSherr M(2016)Generating risk reduction recommendations to decrease vulnerability of public online profiles2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)10.1109/ASONAM.2016.7752267(411-416)Online publication date: Aug-2016
https://doi.org/10.1109/ASONAM.2016.7752267

Index Terms

Helping Users Understand Their Web Footprints
1. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language features
        Data types and structures

Recommendations

Efficient and Practical Approach for Private Record Linkage

Record linkage is used to associate entities from multiple data sources. For example, two organizations contemplating a merger may want to know how common their customer bases are so that they may better assess the benefits of the merger. Another ...
What About My Privacy?Helping Users Understand Online Privacy Policies
ICSSP '22: Proceedings of the International Conference on Software and System Processes and International Conference on Global Software Engineering

Software systems have become an integral part of our daily lives. However, users tend to forget that they are not only consuming information, but also delivering personal information to service providers. This data collection means that users’ privacy ...
Protecting Privacy Against Record Linkage Disclosure: A Bounded Swapping Approach for Numeric Data

Record linkage techniques have been widely used in areas such as antiterrorism, crime analysis, epidemiologic research, and database marketing. On the other hand, such techniques are also being increasingly used for identity matching that leads to the ...

Comments

Information & Contributors

Information

Published In

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2015

Check for updates

Author Tags

Qualifiers

Other

Funding Sources

National Science Foundation

Conference

WWW '15

Sponsor:

IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

Acceptance Rates

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
110
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Zhu JZhang SSingh LYang GSherr MSubrahmanian VRokne JKumar RCaverlee JTong H(2016)Generating risk reduction recommendations to decrease vulnerability of public online profilesProceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.5555/3192424.3192500(411-416)Online publication date: 18-Aug-2016
https://dl.acm.org/doi/10.5555/3192424.3192500
Zhu JZhang SSingh LYang GSherr M(2016)Generating risk reduction recommendations to decrease vulnerability of public online profiles2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)10.1109/ASONAM.2016.7752267(411-416)Online publication date: Aug-2016
https://doi.org/10.1109/ASONAM.2016.7752267

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Efficient and Practical Approach for Private Record Linkage

What About My Privacy?Helping Users Understand Online Privacy Policies

Protecting Privacy Against Record Linkage Disclosure: A Bounded Swapping Approach for Numeric Data

Comments

Information

Published In

Sponsors

In-Cooperation

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations