Protecting Location-Data Against Inference Attacks Using Pre-Defined Personas
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Usage of locational data is getting more popular day by day. Location-aware application, context aware application and Ubiquities applications are some of the major categories of applications which are based on locational data. One of the most concerning issues regarding such applications is how to protect user’s privacy against malicious attackers. Failing in this task would result in a total failure for the project, considering how privacy concerns are getting more and more important for the end users.
In this project, we will propose a theoretical solution for protecting user privacy in location-based application against inference attacks. Our solution is based on categorizing target users into pre-defined groups (a. k. a. Personas) and utilizing their common characteristics in order to synthesize access control rules for the collected data.
Place, publisher, year, edition, pages
2011. , 48 p.
Location-based application, User Privacy, Inference Attacks, Access Control
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-66792OAI: oai:DiVA.org:kth-66792DiVA: diva2:484661
Subject / course
Computer and Systems Sciences
Master of Science - Information and Communication Systems Security
Muftic, Sead, Professor