Privacy-preserving crowdsourced site survey in WiFi fingerprint-based localization

Li, Shujun; Li, Hong; Sun, Limin

doi:10.1186/s13638-016-0624-2

Cited by 21 publications

(11 citation statements)

References 22 publications

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“…Both entities must sacrifice part of their privacy to enjoy a quality crowdsourcing practice. For example, in No guidance for the user to choose appropriate security level Li et al [59] 2016 Hiding the location information of the suppliers in indoor site survey practices A homomorphic encryption scheme…”

Section: Summary and Discussionmentioning

confidence: 99%

“…High computational complexity Encryption scheme for crowdtesting [57], [59], [86] Add noises to the test results Sensitive data cannot be revealed easily…”

Section: Methodsmentioning

confidence: 99%

“…Li et al [59] explored the privacy issues in crowdsourcingbased site survey systems utilizing WiFi fingerprint-based localization techniques. In a site survey practice, multiple suppliers were required to visit different locations and send [44], [46].…”

Section: Crowdtestingmentioning

confidence: 99%

“…The survey dataset is small in size and limited to only one country back WiFi signals in a crowdsourced manner, which is similar to a crowdtesting practice. The main shortcoming of the work in [59] is that the location privacy protection of the suppliers is achieved by encryption and adding noises. The homomorphic encryption can distort the original measurement signal.…”

Section: A Structural Equation Modeling Techniquementioning

confidence: 99%

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Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives

et al. 2019

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Fast development of sharing services has become a crucial part of the cyber-enabled world construction process, as sharing services reinvent how people exchange and obtain goods or services. However, privacy leakage or disclosure remains as a key concern during the sharing service development process. While significant efforts have been undertaken to address various privacy issues in recent years, there is a surprising lack of review for privacy concerns in the cyber-enabled sharing world. To bridge the gap, in this study, we survey and evaluate existing and emerging privacy issues relating to sharing services from various perspectives. Differing from existing similar works on surveying sharing practices in various fields, our work comprehensively covers six branches of sharing services in the cyberenabled world, and selects solutions mostly from the recent five to six years. We conclude the issues and solutions from three perspectives, namely, from users', platforms' and service providers' perspectives. Hot topics and less discussed (cold) topics are identified, which provides hints to researchers for their future studies.

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Section: Summary and Discussionmentioning

confidence: 99%

“…High computational complexity Encryption scheme for crowdtesting [57], [59], [86] Add noises to the test results Sensitive data cannot be revealed easily…”

Section: Methodsmentioning

confidence: 99%

Section: Crowdtestingmentioning

confidence: 99%

Section: A Structural Equation Modeling Techniquementioning

confidence: 99%

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Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives

et al. 2019

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“…Through wardriving, we were able to capture publicly available data about each scanned Wi-Fi access point. Data includes: security protocol (WEP, WPA, WPA2 or OPN), channel being used, router manufacturer, SSID and BSSID [2,5]. The route we took throughout our wardrive spans from Beirut to Kaslik as shown in figure 1.…”

Section: War-drivingmentioning

confidence: 99%

Wi-Fi Network Vulnerability Analysis and Risk Assessment in Lebanon

et al. 2019

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The aim of this paper is to analyze the Wi-Fi network vulnerabilities and risk assessment in Lebanon in order to raise awareness to the Lebanese public by informing them of threats that occur on the network and their impact. The analysis is done by first performing a wardrive; this involves capturing the network access points in several Lebanese regions with the use of two programs: Acrylic Wi-Fi Professional™, and Kismet™, as well as connecting an Alfa Network Antenna to the device in order to increase the range of capture. The data collected are stored in a database where they are processed in order to generate a statistics report of the security and risk level of the network in selected cities. Moreover, a custom survey of the basic knowledge of networking and security is publicly distributed.

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Modeling Privacy in WiFi Fingerprinting Indoor Localization

Yang

Järvinen

2018

Provable Security

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In this paper, we study privacy models for privacy-preserving Wifi fingerprint based indoor localization (PPIL) schemes. We show that many existing models are insufficient and make unrealistic assumptions regarding adversaries' power. To cover the state-of-the-art practical attacks, we propose the first formal security model which formulates the security goals of both client-side and server-side privacy beyond the curious-but-honest setting. In particular, our model considers various malicious behaviors such as exposing secrets of principles, choosing malicious Wifi fingerprints in location queries, and specifying the location area of a target client. Furthermore, we formulate the client-side privacy in an indistinguishability manner where an adversary is required to distinguish a client's real location from a random one. The server-side privacy requires that adversaries cannot generate a fabricate database which provides a similar function to the real database of the server. In particular, we formally define the similarity between databases with a ball approach that has not been formalized before. We show the validity and applicability of our model by applying it to analyze the security of an existing PPIL protocol.

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Privacy-preserving crowdsourced site survey in WiFi fingerprint-based localization

Cited by 21 publications

References 22 publications

Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives

Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives

Wi-Fi Network Vulnerability Analysis and Risk Assessment in Lebanon

Modeling Privacy in WiFi Fingerprinting Indoor Localization

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