SocialCloaking: A distributed architecture for K-anonymity location privacy protection

Hwang, Ren-Hung; Huang, Fu-Hui

doi:10.1109/iccnc.2014.6785340

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…For example, if a user is currently located at the NECTEC building, a larger fuzzy area name, such as Thailand Science Park or even the Khlong Luang District, can be employed as a cloaked region to disguise the user's location. An approach called k-anonymity [37][38][39][40][41][42][43] is used to blend the exact location of the user with other locations of users nearby that are impossible or difficult to distinguish. This approach uses a similar idea as spatial cloaking to blur the real location of the user but uses locations from a group of k users instead of a cloaked region.…”

Section: Monitoring and Trackingmentioning

confidence: 99%

A Policy-Based Framework for Preserving Confidentiality in BYOD Environments: A Review of Information Security Perspectives

Vorakulpipat

Sirapaisan

Rattanalerdnusorn

et al. 2017

Security and Communication Networks

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Today, many organizations allow their employees to bring their own smartphones or tablets to work and to access the corporate network, which is known as a bring your own device (BYOD). However, many such companies overlook potential security risks concerning privacy and confidentiality. This paper provides a review of existing literature concerning the preservation of privacy and confidentiality, with a focus on recent trends in the use of BYOD. This review spans a large spectrum of information security research, ranging from management (risk and policy) to technical aspects of privacy and confidentiality in BYOD. Furthermore, this study proposes a policy-based framework for preserving data confidentiality in BYOD. This framework considers a number of aspects of information security and corresponding techniques, such as policy, location privacy, centralized control, cryptography, and operating system level security, which have been omitted in previous studies. The main contribution is to investigate recent trends concerning the preservation of confidentiality in BYOD from the perspective of information security and to analyze the critical and comprehensive factors needed to strengthen data privacy in BYOD. Finally, this paper provides a foundation for developing the concept of preserving confidentiality in BYOD and describes the key technical and organizational challenges faced by BYOD-friendly organizations.

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Section: Monitoring and Trackingmentioning

confidence: 99%

A Policy-Based Framework for Preserving Confidentiality in BYOD Environments: A Review of Information Security Perspectives

Vorakulpipat

Sirapaisan

Rattanalerdnusorn

et al. 2017

Security and Communication Networks

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show abstract

“…To provide privacy protection under collusion attacks, Zhang et al designed a location privacy-preserving scheme, which for anonymity is achieved by integrating smart contract and Shamir encryption mechanism with collaborative users to improve privacy level [20]. To enhance the trustworthiness of anonymous users, Hwang and Huang [21] and Hwang et al [22] proposed a set of requesting users that can use social networks to select collaborative users and use their real locations to construct anonymity set by using their real location. Yang et al use a single-round sealed double auction mechanism to motivate users in the collaboration process to allow multiple requesting users to request users to obtain the real location of the collaborating users through the auction results and complete the anonymous location selection.…”

Section: Collaboration-based Methodmentioning

confidence: 99%

“…However, most of the existing k-anonymity-based location privacy protection methods depend on third-party servers, which are unreliable due to the performance and security bottlenecks of third-party servers, resulting in privacy vulnerabilities. To address this issue, a k-anonymity approach without the need for a trusted third party has been proposed [16][17][18][19][20][21][22][23]. In this method, the requesting user can negotiate directly with the surrounding collaborating users and protect their real location by generating an anonymity set that contains the collaborating anonymous location.…”

Section: Introductionmentioning

confidence: 99%

A Blockchain-Based Location Privacy-Preserving Scheme in Location-Based Service

Yang

Gao

et al. 2022

Mobile Information Systems

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With the rapid popularization and development of location-based services (LBS), location privacy preserving has become a mainstream concern. Existing anonymity-based methods rely mainly on anonymous location selection based on geographic information, which neglects the semantic information on the location, and behavior of self-interested users may raise a privacy vulnerability. A blockchain-based approach for location privacy protection schemes has been proposed to address these issues. In this scheme, the privacy level of the location is improved using private chain-based collaborative anonymous communication with anonymous set construction methods that consider the semantic diversity associated with the related user. Compared with other existing methods, evaluation based on real-world datasets shows that the proposed method prevents location privacy leakage from collaborative users and constructs a semantical anonymity set, thus effectively protecting the user’s location privacy.

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A MADM Location Privacy Protection Method Based on Blockchain

Wang

Shen

et al. 2021

IEEE Access

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SocialCloaking: A distributed architecture for K-anonymity location privacy protection

Cited by 7 publications

References 13 publications

A Policy-Based Framework for Preserving Confidentiality in BYOD Environments: A Review of Information Security Perspectives

A Policy-Based Framework for Preserving Confidentiality in BYOD Environments: A Review of Information Security Perspectives

A Blockchain-Based Location Privacy-Preserving Scheme in Location-Based Service

A MADM Location Privacy Protection Method Based on Blockchain

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