Protecting Privacy Against Location-Based Personal Identification

Bettini, Cláudio; Wang, X. Sean; Jajodia, Sushil

doi:10.1007/11552338_13

Cited by 283 publications

(230 citation statements)

References 12 publications

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“…The main branch of current research on LBS privacy focuses on users anonymity or partial identities [6,7,9]. Beresford and Stajano [6] present mix zones, a method used to enhance privacy in LBSs managed by trusted middlewares.…”

Section: Related Workmentioning

confidence: 99%

“…al. [7] propose a framework in charge of evaluating the risk of sensitive location-based information dissemination, and a technique aimed at supporting k-anonymity [14]. Gruteser and Grunwald [9] define k-anonymity in the context of location obfuscation and propose a middleware architecture and an adaptive algorithm for adjusting location information resolution according to anonymity requirements.…”

Section: Related Workmentioning

confidence: 99%

“…Again, for simplicity we set R Inter =0.4 and θ = 5π/3. Radius r =0.707 km is computed from (7) and the first obfuscated area is produced. Then, the system of equations (6) is solved numerically resulting in d =0.679 km, and the center is shifted.…”

Section: Double Obfuscation Examplesmentioning

confidence: 99%

See 2 more Smart Citations

Location Privacy Protection Through Obfuscation-Based Techniques

Ardagna

Cremonini

Damiani

et al. 2007

Lecture Notes in Computer Science

228

173

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Abstract. The widespread adoption of mobile communication devices combined with technical improvements of location technologies are fostering the development of a new wave of applications that manage physical positions of individuals to offer location-based services for business, social or informational purposes. As an effect of such innovative services, however, privacy concerns are increasing, calling for more sophisticated solutions for providing users with different and manageable levels of privacy. In this work, we propose a way to express users privacy preferences on location information in a straightforward and intuitive way. Then, based on such location privacy preferences, we discuss a new solution, based on obfuscation techniques, which permits us to achieve, and quantitatively estimate through a metric, different degrees of location privacy.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Location Privacy Protection Through Obfuscation-Based Techniques

Ardagna

Cremonini

Damiani

et al. 2007

Lecture Notes in Computer Science

228

173

View full text Add to dashboard Cite

show abstract

“…Anonymity-based solutions rely on the notion of anonymity [2,3,6]. Beresford and Stajano [2] present mix zones a method developed to enhance privacy in locationbased services managed by a trusted middleware.…”

Section: Related Workmentioning

confidence: 99%

“…Specifically, we consider privacy requirements for Location-Based Access Control (LBAC) systems, which are systems that require, for the provision of an online service, to evaluate conditions expressed with location-based predicates depending on the physical locations of users [1]. In the LBAC area, privacy has been mostly addressed by developing models and techniques that let users access anonymously to online services [2,3,6]. Solutions providing different degrees of privacy according to user preferences or business needs are instead less explored.…”

Section: Introductionmentioning

confidence: 99%

Managing Privacy in LBAC Systems

Ardagna

Cremonini

Damiani

et al. 2007

21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)

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One of the main challenges for privacy-aware locationbased systems is to strike a balance between privacy preferences set by users and location accuracy needed by Location-Based Services (LBSs). To this end, two key requirements must be satisfied: the availability of techniques providing for different degrees of user location privacy and the possibility of quantifying such privacy degrees. To address the first requirement, we describe two obfuscation techniques. For the second requirement, we introduce the notion of relevance as the estimator for the degree of location obfuscation. This way, location obfuscation can be adjusted to comply with both user preferences and LBS accuracy requirements.

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Managing Privacy in Location‐Based Access Control Systems

Yang

2010

Mobile Intelligence

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Obfuscation-based techniques provide solutions for the protection of location privacy. This class includes all the solutions based on the notion of obfuscation [3,7,9,15,44], which is the process of degrading the accuracy of the location information to provide privacy protection. Differently from anonymity-based techniques, the main goal of obfuscation-based techniques is to perturb the location information still maintaining a binding with the identities of users. Duckham and Kulik [15,16] define a framework that provides a mechanism for balancing individual needs for high-quality information services and for location privacy. The proposed solution is based on the imprecision concept, which indicates the lack of specificity of location information. The authors propose to degrade the quality of location information and to provide obfuscation features by adding n points, with same probability, to the real user position. Obfuscation-based solutions also provide mechanisms for specifying privacy preferences in a common and intuitive manner (i.e., as a minimum distance), which, however, presents several common drawbacks. First, they do not provide a metric for the privacy level, making them difficult to integrate into a full fledged location-based application scenario [6]. Second, they usually implement a single obfuscation technique based on the enlargement of a location area. This way, a possibility that is often neglected by traditional location obfuscation solutions is the definition and composition of different obfuscation techniques to increase their robustness with respect to possible de-obfuscation attempts performed by adversaries. Finally, obfuscation solutions are often meaningful in a specific application context only. Ardagna et al. [3,5,7] address the above shortcomings by presenting a novel solution composed by a management process and several techniques aimed at preserving location privacy by artificially perturbing location information measured by sensing technologies. Key aspects of the proposal is, on the one side, to permit the specification of privacy preferences in a simple and intuitive way, and, on the other side, to make the enforcement of privacy preferences manageable for locationbased services, while preserving the quality of the online service. To this aim, the authors introduce the relevance concept as a metric for the accuracy of location information, abstracting from any physical attribute of sensing technology. This permits to quantitatively evaluate the degree of privacy introduced into a location measurement and is adopted by users to define their privacy preferences. Based on relevance preferences, different obfuscation-based techniques and their composition are discussed.Policy-based techniques are based on the notion of privacy policies [20,26,27,30,34]. Privacy policies define restrictions that must be followed when the location of users is used by or released to third parties. Key to policy-based techniques is the definition of policies that can rule location management and disc...

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Protecting Privacy Against Location-Based Personal Identification

Cited by 283 publications

References 12 publications

Location Privacy Protection Through Obfuscation-Based Techniques

Location Privacy Protection Through Obfuscation-Based Techniques

Managing Privacy in LBAC Systems

Managing Privacy in Location‐Based Access Control Systems

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