Abstract

WLAN-based localization is widely adopted for mobile positioning, which is the prerequisite for location based services and more. However, the existing positioning systems are vulnerable to location spoofing attacks, which may bring major privacy concerns to mobile social network service (MSNS). In this paper, we first show a privacy attack model base on spoofing attack in MSNS, and then propose a novel defense mechanism based on WiFi-hotspot tags (i.e. base-station tags, BS tags). Specially, we utilize the unpredictability and reproducibility of BS tags to authenticate the spatial-temporal property of a geolocation. Furthermore, we introduce the bloom filter to compress parts of real-time hotspots frames, while guaranteeing its high entropy. Also, we design a tag verification algorithm based on the fuzzy extractors, which can well adapt to the high-bit error rates of wireless transmission. Finally, the safety and feasibility of the mechanism are proved by theoretical and experimental analysis.

Highlights

  • The proliferation of smartphones and ubiquitous Internet have given rise to mobile social network service (MSNS), which has become an important part of people’s daily life [1]

  • (4) We introduce the notion of fuzzy extractor (FE) to improve the robustness of our defense mechanism

  • We provide a mechanism to authenticate both spatial and temporal property of a geolocation, which is based on the unpredictability and reproducibility of the WiFi hotspot tags

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Summary

INTRODUCTION

The proliferation of smartphones and ubiquitous Internet have given rise to mobile social network service (MSNS), which has become an important part of people’s daily life [1]. People can enjoy many application services in MSNS such as Foursquare and Sina Weibo [2] Such social applications provide various kinds of personalized services combined with location information, which let users post and share information about themselves, and connect with others sharing their informations via mobile. Since vulnerable to location spoofing attack, MSNS users are suffering severe risk of privacy leakage due to the social network sharing and location relation. We defense location spoofing attack in MSNS by proposing an BS tags based location verification mechanism. A. Ye et al.: Detection of Spoofing Attacks in WLAN-Based Positioning Systems Using WiFi Hotspot Tags preventing the spoofing attacks in WLAN based positioning system and guaranteeing MSNS user privacy.

RELATED WORK
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