Automated framework to improve users' awareness on Online Social Networks

Rahaf Barakat, Sameer Abufardeh, Kenneth Magel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The popularity of Online Social Networks (OSN) have brought up new privacy threats. These threats often arise after users willingly, but unwittingly share their information with a wider group of people than they intended. This paper identifies an important problem with posting on social networks and proposes a unique two phases approach to address the problem. The first phase involves recognition of key phrases in potential posts. These key phrases suggest that the message reveals information that might compromise the safety of the poster or someone else. A set of detection rules have been developed for this purpose and tested with over 16000 real Facebook posts. The detection system success rate was about 85%. The second phase involves automatic placement of friends into sets called Circles of Trust. Potentially messages with sensitive information then can be restricted to just the appropriate Circles of Trust. An approach to do the initial assignment of friends to circles and mechanisms for moving friends between circles as their relationship with the poster changes is also discussed.

Original languageEnglish (US)
Title of host publication2016 IEEE International Conference on Electro Information Technology, EIT 2016
PublisherIEEE Computer Society
Pages428-433
Number of pages6
ISBN (Electronic)9781467399852
DOIs
StatePublished - Aug 5 2016
Event2016 IEEE International Conference on Electro Information Technology, EIT 2016 - Grand Forks, United States
Duration: May 19 2016May 21 2016

Publication series

NameIEEE International Conference on Electro Information Technology
Volume2016-August
ISSN (Print)2154-0357
ISSN (Electronic)2154-0373

Conference

Conference2016 IEEE International Conference on Electro Information Technology, EIT 2016
Country/TerritoryUnited States
CityGrand Forks
Period5/19/165/21/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Circles of Trust
  • Online Social Networks OSN
  • Social Network Provider
  • dangerous
  • friendship
  • privacy
  • private
  • risky
  • sensitive

Fingerprint

Dive into the research topics of 'Automated framework to improve users' awareness on Online Social Networks'. Together they form a unique fingerprint.

Cite this