Securing Location Privacy in Augmented Reality

Aryan, Anoop and Singh, Sanjay (2010) Securing Location Privacy in Augmented Reality. In: 5th International Conference on Industrial and Information Systems, ICIIS 2010, Jul 29-Aug 12010, India.

[img] PDF
29071410.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy
Official URL: doi: 10.1109/ICIINFS.2010.5578714,


In Augmented Reality (AR), users main concern includes privacy and safety of data. Since location based services (LBS) are one of the major applications of the AR, it is important to have a privacy-aware management of location information, providing location privacy for clients against vulnerabilities or abuse. This paper discusses how to protect the location privacy from various privacy threats, which occurred because of the unlimited usage of LBS, by a scalable architecture. We have developed an efficient LBS privacy protection algorithm. In our model, k-anonymization and pseudo-anonymization methods are used hand in hand. The proposed location privacy frame work is implemented by an efficient trusted third party server. We have studied the efficiency of our algorithm under different conditions using realistic work loads. Our experiment shows that the k-anonymization and the pseudo-anonymization methods used together in our algorithm provide an efficient location privacy.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Augmented Reality, Location Based Services, Location Privacy
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 31 Jul 2014 07:30
Last Modified: 31 Jul 2014 07:30

Actions (login required)

View Item View Item