Location-based services – the market: success factors and emerging trends from an exploratory approach

Uphaus, PerOle; Beringer, Björn; Siemens, Kristoph; Ehlers, Annika; Rau, Harald

doi:10.1080/17489725.2020.1868587

Cited by 16 publications

(3 citation statements)

References 49 publications

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“…2) Entertainment sector. A further advantage of LBSs is enabling users to search for PIOs, such as nearby restaurants and music clubs, or enjoying games online [6,7].…”

Section: A the Importance Of Location-based Servicesmentioning

confidence: 99%

Preserving Location Privacy in the IoT against Advanced Attacks using Deep Learning

Alyousef¹,

Srinivasan²,

Alrahhal³

et al. 2022

IJACSA

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Location-based services (LBSs) have received a significant amount of recent attention from the research community due to their valuable benefits in various aspects of society. In addition, the dependency on LBS in the performance of daily tasks has increased dramatically, especially after the spread of the COVID-19 pandemic. LBS users use their real location to build LBS queries to take benefits. This makes location privacy vulnerable to attacks. The privacy issue is accentuated if the attacker is an LBS provider since all information about users is accessible. Moreover, the attacker can apply advanced attacks, such as map matching and semantic location attacks. In response to these issues, this work employs artificial intelligence to build a robust defense against advanced location privacy attacks. The key idea behind protecting the location privacy of LBS users is to generate smart dummy locations. Smart dummy locations are false locations with the same query probability as the real location, but they are far from both the real location and each other. Relying on the previous two conditions, the deep-learning-based intelligent finder ensures a high level of location privacy protection against advanced attacks. The attacker cannot recognize the dummies from the real location and cannot isolate the real location by a filtering process. In terms of entropy (the privacy protection metric), accuracy (the deep learning metric), and total execution time (the performance metric) and compared to the well-known DDA and BDA systems, the proposed system shows better results, where entropy = 15.9, accuracy = 9.9, and total execution time = 17 sec.

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“…2) Entertainment sector. A further advantage of LBSs is enabling users to search for PIOs, such as nearby restaurants and music clubs, or enjoying games online [6,7].…”

Section: A the Importance Of Location-based Servicesmentioning

confidence: 99%

Preserving Location Privacy in the IoT against Advanced Attacks using Deep Learning

Alyousef¹,

Srinivasan²,

Alrahhal³

et al. 2022

IJACSA

View full text Add to dashboard Cite

show abstract

“…HE rapid development of smart life and embedded sensors in Internet of Things (IoT) devices has led to a significant demand for location-based services (LBSs). Consequently, ubiquitous localization has become the primary objective of localization technologies [1] to meet the future needs of LBS in next-generation smart cities [2]. Moreover, with the advancement of IoT, ubiquitous localization becomes crucial for both consumers and service providers to obtain reliable localization information anytime and everywhere [3].…”

Section: Introductionmentioning

confidence: 99%

“…Global navigation satellite systems (GNSS) can provide accurate LBS in open-sky areas [1]. However, the performance of GNSS deteriorates indoors because of signal blockage and attenuation.…”

Section: Introductionmentioning

confidence: 99%

Everywhere: A Framework for Ubiquitous Indoor Localization

Mansour

et al. 2023

IEEE Internet Things J.

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Smartphones have become an integral part of daily human life and enable almost unlimited coverage of human mobility. Thus, collecting pervasive crowdsourced signatures is feasible. Autonomous localization of such signatures promotes the development of a self-deployable and ubiquitous Indoor Positioning System (IPS). However, previous IPSs-based crowdsourcing have not considered leveraging such data for developing ubiquitous IPSs. They have relied on methods for data selection and sources for localization adjustment that could work against realizing a ubiquitous system. In contrast, this study introduces a framework "Everywhere" that leverages crowdsourced data to develop a ubiquitous IPS and addresses existing challenges while developing such systems. Particularly, inertial data selection criteria are proposed to autonomously generate traces with better localization. Moreover, pervasive GNSS data are leveraged to adjust trace localization, while simultaneously introducing a deploying location (inside elevators) of one anchor node. The node surveys all the floors while reducing the localization error, especially for the buildings surrounded by GNSS-denied areas. Additionally, cumulative data densification is leveraged to realize pervasive resources within the building, thereby boosting trace adjustment and extending database spatial coverage. Furthermore, a better selection of neighboring fingerprints is proposed to enhance online fingerprinting. Such a framework can promote a ubiquitous IPS development for buildings regardless of whether they are surrounded by open sky or GNSS-denied areas.

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The Commercial Aspects of Navigation Satellites: A Systematic Literature Review

Hassinen,

Ojala,

Kuusniemi

2024

Space Business

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This paper aims to examine the state-of-the-art concerning the commercial aspects of navigation satellite systems. The objective of this systematic literature review is to gather existing literature, map the current state of knowledge, and propose new research avenues regarding the commercial aspects of navigation satellites. To achieve these goals, we conducted a systematic literature review, reviewing 32 papers on navigation satellite systems and their application for commercial usage. Based on the literature, we identify six themes and elaborate on how these themes contribute to our understanding of the topic. The research indicates a scarcity of comprehensive studies on the commercial aspects of satellite navigation-enabled location-based services. Therefore, further investigation is necessary to identify and understand the business models and ecosystems of companies operating in this industry.

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Location-based services – the market: success factors and emerging trends from an exploratory approach

Cited by 16 publications

References 49 publications

Preserving Location Privacy in the IoT against Advanced Attacks using Deep Learning

Preserving Location Privacy in the IoT against Advanced Attacks using Deep Learning

Everywhere: A Framework for Ubiquitous Indoor Localization

The Commercial Aspects of Navigation Satellites: A Systematic Literature Review

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