Fuzzy Logic Decision based Collaborative Privacy Management Framework for Online Social Networks


Akkuzu G. , Aziz B., Adda M.

5th International Conference on Information Systems Security and Privacy (ICISSP), Prague, Czech Republic, 23 - 25 February 2019, pp.674-684 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.5220/0007702206740684
  • City: Prague
  • Country: Czech Republic
  • Page Numbers: pp.674-684

Abstract

Online Social Networks (OSNs) have become one of the most popular implement for interacting with people all over the world and sharing data with them. These data sometimes may be a co-owned data which involves multiple users, sharing co-owned data can cause privacy violation if co-owners are not happy with the owner's sharing privacy settings. To tackle privacy issues on co-owned data, collaborative privacy management has become a popular research area in recent years. In this work, we provide a fuzzy logic decision based collaborative privacy management framework for OSNs. We use data sensitivity value and confidence value in targeted group as input variables of fuzzy system. We also use trust values between users since our framework needs to calculate trust loss and gains for reputation value.