Constructing plausible innocuous pseudo queries to protect user query intention

Wu, Zongda; Shi, Jie; Lu, Chenglang; Chen, Enhong; Xu, Guandong; Li, Guiling; Xie, Sihong; Yu, Philip S.

doi:10.1016/j.ins.2015.07.010

Cited by 23 publications

(10 citation statements)

References 25 publications

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“…In addition to location privacy, some researchers also attempt to leverage dummy queries to protect textual privacy. For example, aiming at text retrieval, in [31], the authors attempted to improve the quality of dummy queries based on a semantic space derived from Wikipedia. However, the work takes into account only the textual feature of a single user query, without considering the semantic relevance between users' current queries and users' historical queries, consequently, making it still possible for an attacker of rich prior knowledge to rule out the dummies.…”

Section: Dummy-based Methodsmentioning

confidence: 99%

“…(3) Algorithm candidates. In the experiments, we used the following four dummybased algorithm candidates: (1) Privacy, i.e., the approach proposed in this paper; (2) Priva-cyLS [9], which constructs dummy queries to protect the location privacy by considering the location frequency feature; (3) PrivacyQS [31], which constructs dummy queries to protect the query privacy by considering the query context; and (4) Random (used as the baseline), which uses a random way to construct dummy locations and dummy attributes. In the experiments, we did not compare against other algorithms mentioned in the related work section, since they are designed under different privacy models (i.e., pseudonym, obfuscation or encryption), so they are incomparable to our approach.…”

Section: Methodsmentioning

confidence: 99%

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Constructing dummy query sequences to protect location privacy and query privacy in location-based services

Shen

et al. 2020

World Wide Web

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176

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Location-based services (LBS) have become an important part of people's daily life. However, while providing great convenience for mobile users, LBS result in a serious problem on personal privacy, i.e., location privacy and query privacy. However, existing privacy methods for LBS generally take into consideration only location privacy or query privacy, without considering the problem of protecting both of them simultaneously. In this paper, we propose to construct a group of dummy query sequences, to cover up the query locations and query attributes of mobile users and thus protect users' privacy in LBS. First, we present a client-based framework for user privacy protection in LBS, which requires not only no change to the existing LBS algorithm on the server-side, but also no compromise

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Section: Dummy-based Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Constructing dummy query sequences to protect location privacy and query privacy in location-based services

Shen

et al. 2020

World Wide Web

Self Cite

176

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“…Major developed countries formulated related standards and specifications; for example, the Document Management Guidelines in Cloud Computing Environment issued by the US government and the Risk Management Suggestions for Document Preservation in Cloud Computing from the Australian document and archives committee. However, an endless stream of privacy leakage incidents showed that laws and regulations cannot fundamentally solve the privacy problem in the cloud environment, so the solution cannot depart from the support of technical means (Wu et al, 2015(Wu et al, , 2018b. To ensure data security, archives systems have used a variety of technical methods (Lu et al, 2013), mainly including: identity authentication, access control, and data encryption.…”

Section: Xml-based Archives Managementmentioning

confidence: 99%

A privacy protection approach for XML-based archives management in a cloud environment

Xie

Lian

2019

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Purpose The security of archival privacy data in the cloud has become the main obstacle to the application of cloud computing in archives management. To this end, aiming at XML archives, this paper aims to present a privacy protection approach that can ensure the security of privacy data in the untrusted cloud, without compromising the system availability. Design/methodology/approach The basic idea of the approach is as follows. First, the privacy data before being submitted to the cloud should be strictly encrypted on a trusted client to ensure the security. Then, to query the encrypted data efficiently, the approach constructs some key feature data for the encrypted data, so that each XML query defined on the privacy data can be executed correctly in the cloud. Findings Finally, both theoretical analysis and experimental evaluation demonstrate the overall performance of the approach in terms of security, efficiency and accuracy. Originality/value This paper presents a valuable study attempting to protect privacy for the management of XML archives in a cloud environment, so it has a positive significance to promote the application of cloud computing in a digital archive system.

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“…user's book browsing behaviors can reflect some categories of interest to the user). The security of users' data privacy can be ensured by encryption (Pang et al, 2012;Wu et al, 2015). However, encryption cannot ensure the security of users' behavior privacy (Wu et al, 2016), because encrypting users' behaviors would make the server unable to understand the behaviors, and thus make the service unavailable.…”

Section: Introductionmentioning

confidence: 99%

An approach for the protection of users’ book browsing preference privacy in a digital library

Zheng

Xiejian

et al. 2018

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Purpose The problem of privacy protection in digital libraries is causing people to have increasingly extensive concerns. This study aims to design an approach to protect the preference privacy behind users’ book browsing behaviors in a digital library. Design/methodology/approach This paper proposes a client-based approach, whose basic idea is to construct a group of plausible book browsing dummy behaviors, and submit them together with users’ true behaviors to the untrusted server, to cover up users’ sensitive preferences. Findings Both security analysis and evaluation experiment demonstrate the effectiveness of the approach, which can ensure the privacy security of users’ book browsing preferences on the untrusted digital library server, without compromising the usability, accuracy and efficiency of book services. Originality/value To the best of the authors’ knowledge, this paper provides the first attempt to the protection of users’ behavior privacy in digital libraries, which will have a positive influence on the development of privacy-preserving libraries in the new network era.

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Constructing plausible innocuous pseudo queries to protect user query intention

Cited by 23 publications

References 25 publications

Constructing dummy query sequences to protect location privacy and query privacy in location-based services

Constructing dummy query sequences to protect location privacy and query privacy in location-based services

A privacy protection approach for XML-based archives management in a cloud environment

An approach for the protection of users’ book browsing preference privacy in a digital library

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