The integrated applications of WIFI and APP used in the shopping mall environment for menber card E-marketing

Chung, Cheng-Kung; Chung, Iau-Quen; Wang, Yung-hau; Chang, Ching-Ter

doi:10.1109/icmlc.2016.7872968

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…Privacy-Preserving Indoor Localization (PPIL) is a very topical problem given the constantly increasing use of IL [29,30,31] in environments including shopping malls [21], exhibition centers, airports, hospitals, university campuses [22,32], and museums. Examples of deployed IL services (mobile apps) include AnyPlace 1 , HERE Indoor Positioning 2 , IndoorAtlas 3 , and Point Inside 4 .…”

Section: A Motivationmentioning

confidence: 99%

“…Proposed Indoor Localization (IL) techniques include Wi-Fi [13,14,15,16], magnetic-field positioning, cellular, Bluetooth Low Energy (BLE) [17], and Ultra Wide Band (UWB) (see, e.g., [18,19] for good surveys on indoor positioning technologies). Arguably, Wi-Fi fingerprinting is the most prominent and widely-adopted solution for IL [20,21,22,23], as Wi-Fi networks and Wi-Fi capable devices are ubiquitous and therefore virtually free for the IL provider.…”

Section: Introductionmentioning

confidence: 99%

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PILOT: Practical Privacy-Preserving Indoor Localization Using OuTsourcing

Järvinen

Leppäkoski

Lohan

et al. 2019

2019 IEEE European Symposium on Security and Privacy (EuroS&P)

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In the last decade, we observed a constantly growing number of Location-Based Services (LBSs) used in indoor environments, such as for targeted advertising in shopping malls or finding nearby friends. Although privacy-preserving LBSs were addressed in the literature, there was a lack of attention to the problem of enhancing privacy of indoor localization, i.e., the process of obtaining the users' locations indoors and, thus, a prerequisite for any indoor LBS.In this work we present PILOT, the first practically efficient solution for Privacy-Preserving Indoor Localization (PPIL) that was obtained by a synergy of the research areas indoor localization and applied cryptography. We design, implement, and evaluate protocols for Wi-Fi fingerprint-based PPIL that rely on 4 different distance metrics. To save energy and network bandwidth for the mobile end devices in PPIL, we securely outsource the computations to two non-colluding semi-honest parties. Our solution mixes different secure two-party computation protocols and we design size-and depth-optimized circuits for PPIL. We construct efficient circuit building blocks that are of independent interest: Single Instruction Multiple Data (SIMD) capable oblivious access to an array with low circuit depth and selection of the k-Nearest Neighbors with small circuit size. Additionally, we reduce Received Signal Strength (RSS) values from 8 bits to 4 bits without any significant accuracy reduction. Our most efficient PPIL protocol is 553x faster than that of Li et al. (INFOCOM'14) and 500x faster than that of Ziegeldorf et al. (WiSec'14). Our implementation on commodity hardware has practical run-times of less than 1 second even for the most accurate distance metrics that we consider, and it can process more than half a million PPIL queries per day. 448 2019 IEEE European Symposium on Security and Privacy (EuroS&P)

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Section: A Motivationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PILOT: Practical Privacy-Preserving Indoor Localization Using OuTsourcing

Järvinen

Leppäkoski

Lohan

et al. 2019

2019 IEEE European Symposium on Security and Privacy (EuroS&P)

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A Low-Cost Indoor Navigation and Tracking System Based on Wi-Fi-RSSI

Aminah,

Ichwanda,

Djamal

et al. 2024

Wireless Pers Commun

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Practical Privacy-Preserving Indoor Localization Based on Secure Two-Party Computation

Nieminen¹,

Järvinen

2021

IEEE Trans. on Mobile Comput.

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We present a privacy-preserving indoor localization scheme based on received signal strength measurements, e.g., from WiFi access points. Our scheme preserves the privacy of both the client's location and the service provider's database by using secure two-party computation instantiated with known cryptographic primitives, namely, Paillier encryption and garbled circuits. We describe a number of optimizations that reduce the computation and communication overheads of the scheme and provide theoretical evaluations of these overheads. We also demonstrate the feasibility of the scheme by developing a proof-of-concept implementation for Android smartphones and commodity servers. This implementation allows us to validate the practical performance of our scheme and to show that it is feasible for practical use in certain types of indoor localization applications.

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The integrated applications of WIFI and APP used in the shopping mall environment for menber card E-marketing

Cited by 4 publications

References 3 publications

PILOT: Practical Privacy-Preserving Indoor Localization Using OuTsourcing

PILOT: Practical Privacy-Preserving Indoor Localization Using OuTsourcing

A Low-Cost Indoor Navigation and Tracking System Based on Wi-Fi-RSSI

Practical Privacy-Preserving Indoor Localization Based on Secure Two-Party Computation

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