Securing location privacy in augmented reality

Anoop Aryan, Sanjay Singh

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

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2010 5th International Conference on Industrial and Information Systems, ICIIS 2010
Pages172-176
Number of pages5
DOIs
Publication statusPublished - 02-11-2010
Event2010 5th International Conference on Industrial and Information Systems, ICIIS 2010 - Mangalore, Karnataka, India
Duration: 29-07-201001-08-2010

Conference

Conference2010 5th International Conference on Industrial and Information Systems, ICIIS 2010
CountryIndia
CityMangalore, Karnataka
Period29-07-1001-08-10

Fingerprint

Augmented reality
Location based services
Servers
Privacy
Anonymization
Experiments
Location-based services

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management
  • Industrial and Manufacturing Engineering

Cite this

Aryan, A., & Singh, S. (2010). Securing location privacy in augmented reality. In 2010 5th International Conference on Industrial and Information Systems, ICIIS 2010 (pp. 172-176). [5578714] https://doi.org/10.1109/ICIINFS.2010.5578714
Aryan, Anoop ; Singh, Sanjay. / Securing location privacy in augmented reality. 2010 5th International Conference on Industrial and Information Systems, ICIIS 2010. 2010. pp. 172-176
@inproceedings{e651e57465e2447a9031816e9207af8a,
title = "Securing location privacy in augmented reality",
abstract = "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.",
author = "Anoop Aryan and Sanjay Singh",
year = "2010",
month = "11",
day = "2",
doi = "10.1109/ICIINFS.2010.5578714",
language = "English",
isbn = "9781424466535",
pages = "172--176",
booktitle = "2010 5th International Conference on Industrial and Information Systems, ICIIS 2010",

}

Aryan, A & Singh, S 2010, Securing location privacy in augmented reality. in 2010 5th International Conference on Industrial and Information Systems, ICIIS 2010., 5578714, pp. 172-176, 2010 5th International Conference on Industrial and Information Systems, ICIIS 2010, Mangalore, Karnataka, India, 29-07-10. https://doi.org/10.1109/ICIINFS.2010.5578714

Securing location privacy in augmented reality. / Aryan, Anoop; Singh, Sanjay.

2010 5th International Conference on Industrial and Information Systems, ICIIS 2010. 2010. p. 172-176 5578714.

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

TY - GEN

T1 - Securing location privacy in augmented reality

AU - Aryan, Anoop

AU - Singh, Sanjay

PY - 2010/11/2

Y1 - 2010/11/2

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77958589618&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77958589618&partnerID=8YFLogxK

U2 - 10.1109/ICIINFS.2010.5578714

DO - 10.1109/ICIINFS.2010.5578714

M3 - Conference contribution

SN - 9781424466535

SP - 172

EP - 176

BT - 2010 5th International Conference on Industrial and Information Systems, ICIIS 2010

ER -

Aryan A, Singh S. Securing location privacy in augmented reality. In 2010 5th International Conference on Industrial and Information Systems, ICIIS 2010. 2010. p. 172-176. 5578714 https://doi.org/10.1109/ICIINFS.2010.5578714