Location privacy based on trusted computing and secure logging

Hengartner, Urs

doi:10.1145/1460877.1460898

Cited by 14 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [19], 'Chaums Blind Signature' is used to achieve anonymity and privacy. In [32], the public key encryption process is used with the concept of a trusted computing module. In [40], User's privacy is preserved by a telecommunication service provider (TSP) through the exchange of encrypted feedback scores to the public bulletin board for other TSPs instead of private information exchange.…”

Section: Related Workmentioning

confidence: 99%

Privacy Preservation Using 2-Degree Anonymity With Trust Circle in Ubiquitous Network for Service Communications

Hazra

Setua

2020

IEEE Access

View full text Add to dashboard Cite

The ubiquitous networks bring lots of convenience to consumers and service providers for their service communications but have strong privacy issues. Such network environments are unobtrusive and imperceptible to the consumer, where services are provided through an omnipresent way in smart environments. It raises numerous privacy and security issues for consumers. Privacy of service communicating entities needs to be preserved from malicious entities in the context of three-fold privacy threat -identity, location, behavioural privacy threat of legitimate entities in ubiquitous environment. In this paper, privacy preservation is explored with two levels of anonymization by a 2-degree anonymity approach through trust circle of one service entity in service communication. Our proposal provides the personalization in-between anonymity and trust. Simulation results exhibit the effectiveness of our proposal in the considered environment with the ''ADULT'' database and ''Facebook'' data set of two Universities, Amherst, and Colgate.

show abstract

Section: Related Workmentioning

confidence: 99%

Privacy Preservation Using 2-Degree Anonymity With Trust Circle in Ubiquitous Network for Service Communications

Hazra

Setua

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…In [25], trusted computing and secure logging were used to preserve location privacy. The paper addressed the inefficiency of PIR by adopting an alternative solution that requires the Trusted Module to cloak a user's location before accessing the POI database.…”

Section: Pir-based Location Privacymentioning

confidence: 99%

Achieving Efficient Query Privacy for Location Based Services

Olumofin

Tysowski

Goldberg

et al. 2010

Privacy Enhancing Technologies

Self Cite

View full text Add to dashboard Cite

Mobile smartphone users frequently need to search for nearby points of interest from a location based service, but in a way that preserves the privacy of the users' locations. We present a technique for private information retrieval that allows a user to retrieve information from a database server without revealing what is actually being retrieved from the server. We perform the retrieval operation in a computationally efficient manner to make it practical for resource-constrained hardware such as smartphones, which have limited processing power, memory, and wireless bandwidth. In particular, our algorithm makes use of a variable-sized cloaking region that increases the location privacy of the user at the cost of additional computation, but maintains the same traffic cost. Our proposal does not require the use of a trusted thirdparty component, and ensures that we find a good compromise between user privacy and computational efficiency. We evaluated our approach with a proof-of-concept implementation over a commercial-grade database of points of interest. Query response time on experimental hardware dropped from between 25 and 70 seconds to less than a second for state or provincial level granularity of location privacy. We also measured the performance of our query technique on a smartphone and wireless network.

show abstract

“…Alternatively, G. Ghinita [17,18] who exp Private Information Retrieval ( location-specific information is claimed that Anonymizers are n theory known as Computation approximate and exact neare interests (POI). It also could snapshot and the first to provi against correlation attacks.…”

Section: B Anonymization Techniquesmentioning

confidence: 99%

Privacy preservation in Location-Based Services (LBS) through Trusted Computing technology

Othman

Hashim

Manan

2009

2009 IEEE 9th Malaysia International Conference on Communications (MICC)

View full text Add to dashboard Cite

Location privacy in Location Based Services (LBS) isthe ability to protect the association between user's identity, query sources, servers and database, thereby preventing an imminent attacker from easily linking users of LBS to certain locations. This paper studies recent schemes designed to offer location privacy and anonymity to LBS users. The main idea is to solve current practical problem by proposing a new framework of LBS Middleware called Trusted Anonymizer (TA) secured by Trusted Computing (TC) technologies. Firstly, we propose an architecture of Clustered Trusted Anonymizer (CTA) to mitigate bottlenecks as well as preventing TA from becoming a single point of failure. Secondly, we focus on a concrete efficient Direct Anonymous Attestation (DAA) scheme with the main functionalities adopted by TCG-compliant platforms in attestation environments. Each party involved in the LBS chain will be equipped with security platforms namely Trusted Platform Module (TPMs) and Mobile Trusted Module (MTMs). Hence, links and services form a trusted infrastructure for mobile and wireless networks.

show abstract

Location privacy based on trusted computing and secure logging

Cited by 14 publications

References 17 publications

Privacy Preservation Using 2-Degree Anonymity With Trust Circle in Ubiquitous Network for Service Communications

Privacy Preservation Using 2-Degree Anonymity With Trust Circle in Ubiquitous Network for Service Communications

Achieving Efficient Query Privacy for Location Based Services

Privacy preservation in Location-Based Services (LBS) through Trusted Computing technology

Contact Info

Product

Resources

About