A Design of Cloaking Region using Dummy for Privacy Information Protection on Location-Based Services

Kim, Ju-Yung; Jeong, Eun-Hee; Lee, Byung-Kwan

doi:10.7840/kics.2011.36b.8.929

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…The new Casper proposed by Mokbel describes the four elements that satisfy regional anonymity: accuracy, quality, efficiency, and flexibility 10 . Kim et al 16 protected the privacy information from the LBS by designing a cloaking technique using dummies. This technique solved the duplicate building count problem by adding a building group item to the index structure of the privacy grid and overcame the privacy information protection and leakage problem—caused by the setup of minimum CR—by increasing the k value after searching the cells adjacent to the edges of each building.…”

Section: Related Workmentioning

confidence: 99%

Efficient dummy generation for considering obstacles and protecting user location

Song

Shakhov

et al. 2019

Concurrency and Computation

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To receive location-based services (LBS), users must disclose their locations and queries to the LBS server, which can expose the user's identity, location, and other information. Recently, techniques for protecting user privacy using dummies have been researched. However, many factors, such as the distance between the obstacles and the dummies, must be considered in order to create dummies. Therefore, this study proposes an efficient dummy creation technique to improve user privacy protection. Experimental results show that the proposed technique improves on other recent techniques.

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Section: Related Workmentioning

confidence: 99%

Efficient dummy generation for considering obstacles and protecting user location

Song

Shakhov

et al. 2019

Concurrency and Computation

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“…Cloaking and -anonymity are the most commonly used forms of location anonymization [10][11][12][13][14][15][16][17][18][19][20][21][22]. Figure 1 depicts an example of the distributed grid based continuous cloaking (DGCC) area creation when the required -anonymity level is 4 (e.g., = 4) [23].…”

Section: Related Workmentioning

confidence: 99%

“…It satisfies the four requirements of location anonymity: accuracy, quality, efficiency, and flexibility. The cloaking algorithm in [13] employs dummy generation in creating a CR. To solve the building double counting problem, it adds the building grouping item to the index structure of the existing privacy grid approach and minimizes the CR by finding users (e.g., -anonymity) in the grid cells adjacent to the buildings in the CR.…”

Section: Related Workmentioning

confidence: 99%

“…It satisfies the four requirements of location anonymity: accuracy, quality, efficiency, and flexibility. The cloaking algorithm in [13] employs dummy generation in creating a CR.…”

Section: Related Workmentioning

confidence: 99%

“…In an effort to preserve the privacy of LBS users, a number of location anonymization techniques have been studied. In particular, spatial cloaking that blurs a user's exact location into the cloaked regions (CRs) such that the CR satisfies the user-specified -anonymity requirement has been widely used [11][12][13][14][15][16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

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A Privacy-Preserving Continuous Location Monitoring System for Location-Based Services

Song

Sim

Park

et al. 2015

International Journal of Distributed Sensor Networks

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To protect users' private locations in location-based services, various location anonymization techniques have been proposed. The most commonly used technique is spatial cloaking, which organizes users' exact locations into cloaked regions (CRs). This satisfies the K-anonymity requirement; that is, the querier is not distinguishable among K users within the CR. However, the practicality of cloaking techniques is limited due to the lack of privacy-preserving query processing capacity, for example, providing answers to the user's spatial queries based on knowledge of the user's cloaked location rather than the exact location. This paper proposes a cloaking system model called anonymity of motion vectors (AMV) that provides anonymity for spatial queries. The proposed AMV minimizes the CR of a mobile user using motion vectors. In addition, the AMV creates a ranged search area that includes the nearest neighbor (NN) objects to the querier who issued a CR-based query. The effectiveness of the proposed AMV is demonstrated in simulated experiments.

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Improving Privacy and Security of User Data in Location Based Services

Yamin

Sen

2021

Research Anthology on Privatizing and Securing Data

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Location Based Services (LBS) expose user data to malicious attacks. Approaches, evolved, so far, for preserving privacy and security, suffer from one or more anomalies, and hence the problem of securing LBS data is far from being resolved. In particular, accuracy of results vs. privacy degree, privacy vs. performance, and trust between users are open problems. In this article, we present a novel approach by integration of peer-to-peer (P2P) with the caching technique and dummies from real queries. Our approach increases efficiency, leads to improved performance, and provides solutions to many problems that have existed in the past. In addition, we offer an improved way of managing cache. Simulation demonstrates superiority of our approach over earlier ones dealing with both the ratio of privacy and that of performance.

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A Design of Cloaking Region using Dummy for Privacy Information Protection on Location-Based Services

Cited by 5 publications

References 3 publications

Efficient dummy generation for considering obstacles and protecting user location

Efficient dummy generation for considering obstacles and protecting user location

A Privacy-Preserving Continuous Location Monitoring System for Location-Based Services

Improving Privacy and Security of User Data in Location Based Services

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