Privacy protection in WiFi-based location estimation

Peng, Zuotao; Kaji, Koichi; Kawaguchi, Nobuo

doi:10.1109/icmu.2014.6799059

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Location Privacy Protection Mechanisms (LPPMs) have been open challenges for decades. In the last ten years, many schemes have been proposed to allow users to make use of LBSs while mitigating privacy concerns [6][7][8][9][10][11][12][13] . These methods are used to let users submit false location data to prevent attackers from obtaining their real location information.…”

Section: Related Research and Problemsmentioning

confidence: 99%

“…Their model took the central server as a completely trusted third party, which is always an additional threat to security and privacy in real applications. Focusing on the security problems of models and schemes, Peng et al [12] proposed a method to judge the location privacy attacks in terms of the located region. In 2015 Wang et al [6] proposed a location privacy protection approach named KAP, based on graph topology model, integrating the concept of k-anonymity.…”

Section: Location Privacy Protection Schemes (Lppss) In Lbssmentioning

confidence: 99%

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An efficient Location Privacy Protection Scheme based on the Chinese Remainder Theorem

Wang

Han

Yang

2016

Tinshhua Sci. Technol.

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Traditional k-anonymity schemes cannot protect a user's privacy perfectly in big data and mobile network environments. In fact, existing k-anonymity schemes only protect location in datasets with small granularity. But in larger granularity datasets, a user's geographical region-location is always exposed in realizations of k-anonymity because of interaction with neighboring nodes. And if a user could not find enough adjacent access points, most existing schemes would be invalid. How to protect location information has become an important issue. But it has not attracted much attention. To solve this problem, two location-privacy protection models are proposed. Then a new generalized k-anonymity Location Privacy Protection Scheme based on the Chinese Remainder Theorem (LPSS-CRT) in Location-Based Services (LBSs) is proposed. We prove that it can guarantee that users can access LBSs without leaking their region-location information, which means the scheme can achieve perfect anonymity. Analysis shows that LPPS-CRT is more secure in protecting location privacy, including region information, and is more efficient, than similar schemes. It is suitable for dynamic environments for different users' privacy protection requests.

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