• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Personal DLP for facebook
 
  • Details
  • Full
Options
2014
Conference Paper
Title

Personal DLP for facebook

Abstract
Data Loss Prevention (DLP) is a well-established security and privacy concept in enterprise environments: Enterprise DLP tools scan outgoing messages and stop unintended information flows. It may catch malicious insiders, but the main use case is avoiding data leaks due to human errors. Good DLP tools prevent careless employees from doing something they would probably regret if made aware of. Individuals using online social networks are in a very similar situation: Often they share the wrong information with the wrong people, unaware of the risks and often even unaware of the technical meaning of what they are doing. Personal DLP, introduced in this paper, extends the notion of DLP to individual users. It makes the individual users aware of risks and mistakes, and it does so based on rules explicitly set by each user, and rules derived from that users' past behavior and individual settings. Personal DLP raises awareness by explaining the risks, but the final decision is always with the user.
Author(s)
Ghiglieri, M.
Stopczynski, M.
Waidner, M.
Mainwork
IEEE International Conference on Pervasive Computing and Communication workshops, PerCom Workshops 2014  
Conference
International Conference on Pervasive Computing and Communication (PerCom) 2014  
Workshop on Security and Social Networking (SESOC) 2014  
DOI
10.1109/PerComW.2014.6815279
Language
English
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024