Developing Location Based Services for Tourism. The Service Providers’ View

2001 ◽  
pp. 83-92 ◽  
Author(s):  
Alexander Zipf ◽  
Rainer Malaka
Keyword(s):  
Service Providers ◽  
Location Based Services

scholarly journals Privacy vs. Reward in Indoor Location-Based Services

2016 ◽  
Vol 2016 (4) ◽  
pp. 102-122 ◽  
Author(s):  
Kassem Fawaz ◽  
Kyu-Han Kim ◽  
Kang G. Shin
Keyword(s):  
Location Privacy ◽  
Indoor Localization ◽  
Service Providers ◽  
Location Based Services ◽  
Location Information ◽  
Privacy Concerns ◽  
Indoor Location ◽  
Location Data ◽  
Personalized Services ◽  
Privacy Risks

AbstractWith the advance of indoor localization technology, indoor location-based services (ILBS) are gaining popularity. They, however, accompany privacy concerns. ILBS providers track the users’ mobility to learn more about their behavior, and then provide them with improved and personalized services. Our survey of 200 individuals highlighted their concerns about this tracking for potential leakage of their personal/private traits, but also showed their willingness to accept reduced tracking for improved service. In this paper, we propose PR-LBS (Privacy vs. Reward for Location-Based Service), a system that addresses these seemingly conflicting requirements by balancing the users’ privacy concerns and the benefits of sharing location information in indoor location tracking environments. PR-LBS relies on a novel location-privacy criterion to quantify the privacy risks pertaining to sharing indoor location information. It also employs a repeated play model to ensure that the received service is proportionate to the privacy risk. We implement and evaluate PR-LBS extensively with various real-world user mobility traces. Results show that PR-LBS has low overhead, protects the users’ privacy, and makes a good tradeoff between the quality of service for the users and the utility of shared location data for service providers.

ILSSPP: Intelligent location sharing system with privacy preserving features for smart cities

2021 ◽  
pp. 1-12
Author(s):  
Gokay Saldamli ◽  
Richard Chow ◽  
Hongxia Jin
Keyword(s):  
Service Providers ◽  
Smart Cities ◽  
User Interaction ◽  
Privacy Preserving ◽  
Location Based Services ◽  
Third Party ◽  
Location Information ◽  
Fine Grained ◽  
Location Sharing ◽  
Social Network Structure

Social networking services are increasingly accessed through mobile devices. This trend has prompted services such as Facebook and Google+to incorporate location as a de facto feature of user interaction. At the same time, services based on location such as Foursquare and Shopkick are also growing as smartphone market penetration increases. In fact, this growth is happening despite concerns (growing at a similar pace) about security and third-party use of private location information (e.g., for advertising). Nevertheless, service providers have been unwilling to build truly private systems in which they do not have access to location information. In this paper, we describe an architecture and a trial implementation of a privacy-preserving location sharing system called ILSSPP. The system protects location information from the service provider and yet enables fine grained location-sharing. One main feature of the system is to protect an individual’s social network structure. The pattern of location sharing preferences towards contacts can reveal this structure without any knowledge of the locations themselves. ILSSPP protects locations sharing preferences through protocol unification and masking. ILSSPP has been implemented as a standalone solution, but the technology can also be integrated into location-based services to enhance privacy.

scholarly journals Complying with Privacy Legislation: From Legal Text to Implementation of Privacy-Aware Location-Based Services

2018 ◽  
Vol 7 (11) ◽  
pp. 442 ◽  
Author(s):  
Mehrnaz Ataei ◽  
Auriol Degbelo ◽  
Christian Kray ◽  
Vitor Santos
Keyword(s):  
Data Privacy ◽  
Location Privacy ◽  
Service Providers ◽  
Location Based Services ◽  
Legal Text ◽  
General Data Protection Regulation ◽  
Location Data ◽  
Privacy Laws ◽  
Technical Issues ◽  
General Data

An individual’s location data is very sensitive geoinformation. While its disclosure is necessary, e.g., to provide location-based services (LBS), it also facilitates deep insights into the lives of LBS users as well as various attacks on these users. Location privacy threats can be mitigated through privacy regulations such as the General Data Protection Regulation (GDPR), which was introduced recently and harmonises data privacy laws across Europe. While the GDPR is meant to protect users’ privacy, the main problem is that it does not provide explicit guidelines for designers and developers about how to build systems that comply with it. In order to bridge this gap, we systematically analysed the legal text, carried out expert interviews, and ran a nine-week-long take-home study with four developers. We particularly focused on user-facing issues, as these have received little attention compared to technical issues. Our main contributions are a list of aspects from the legal text of the GDPR that can be tackled at the user interface level and a set of guidelines on how to realise this. Our results can help service providers, designers and developers of applications dealing with location information from human users to comply with the GDPR.

Location-Based Services (LBS) in Micro-Scale Navigation

2009 ◽  
Vol 1 (4) ◽  
pp. 51-71 ◽  
Author(s):  
Suleiman Almasri ◽  
Muhammad Alnabhan ◽  
Ziad Hunaiti ◽  
Eliamani Sedoyeka
Keyword(s):  
Service Providers ◽  
Experimental Tests ◽  
Location Based Services ◽  
Third Party ◽  
Mobile Technologies ◽  
Large Field ◽  
Battery Lifetime ◽  
Micro Scale ◽  
Multimedia Contents ◽  
Recent Developments

Pedestrians LBS are accessible by hand-held devices and become a large field of energetic research since the recent developments in wireless communication, mobile technologies and positioning techniques. LBS applications provide services like finding the neighboring facility within a certain area such as the closest restaurants, hospital, or public telephone. With the increased demand for richer mobile services, LBS propose a promising add-on to the current services offered by network operators and third-party service providers such as multimedia contents. The performance of LBS systems is directly affected by each component forming its architecture. Firstly, the end-user mobile device is still experiencing a lack of enough storage, limitations in CPU capabilities and short battery lifetime. Secondly, the mobile wireless network is still having problems with the size of bandwidth, packet loss, congestions and delay. Additionally, in spite of the fact that GPS is the most accurate navigation system, there are still some issues in micro scale navigation, mainly availability and accuracy. Finally, LBS server which hosts geographical and users information is experiencing difficulties in managing the huge size of data which causes a long query processing time. This paper presents a technical investigation and analysis of the performance of each component of LBS system for pedestrian navigation, through conducting several experimental tests in different locations. The results of this investigation have pinpointed the weaknesses of the system in micro-scale environments. In addition, this paper proposes a group of solutions and recommendations for most of these shortcomings.

scholarly journals Surface Correlation-Based Fingerprinting Method Using LTE Signal for Localization in Urban Canyon

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3325 ◽  
Author(s):  
Jung Ho Lee ◽  
Beomju Shin ◽  
Donghyun Shin ◽  
Jinwoo Park ◽  
Yong Sang Ryu ◽  
...  
Keyword(s):  
Urban Areas ◽  
Service Providers ◽  
Signal Strength ◽  
Multipath Fading ◽  
Location Based Services ◽  
Walking Distance ◽  
Signal Interference ◽  
Measured Signal ◽  
Movement Trajectory ◽  
Fingerprinting Method

The Global Satellite Navigation System (GNSS) used in various location-based services is accurate and stable in outdoor environments. However, it cannot be utilized in an indoor environment because of low signal availability and degradation of accuracy due to the multipath distortion of satellite signals in urban areas. On the contrary, LTE signals are available almost everywhere in urban areas and are quite stable without much variation throughout the year. This is because of the fixed location of base stations and the well-maintained policy of mobile communication service providers. Its varied stability and reliability make LTE signals a more viable method for localization. However, there are some complexities in utilizing LTE signals including signal interference distortion phenomena during propagation multipath fading, and various types of noise. In this paper, we propose a surface correlation-based fingerprinting method to utilize LTE signals for localization in urban areas. The surface correlation converts timely measured signal strength into spatial pattern using the walking distance from a Pedestrian Dead-Reckoning (PDR). The surface correlation is carried out by comparing the spatial signal strength pattern of a pedestrian`s movement trajectory with a fingerprinting database to estimate the location. A reference trajectory of the moving pedestrian is chosen to have a greater correlation among the multiple trajectory candidates generated from a link-based fingerprinting database. By comparing spatial signal strength patterns, the proposed method can improve robustness in localization overcoming the accuracy degradation problem due to RF multipath and noise that are dominant in the conventional RSS measurement-based LTE localization scheme. The test results in urban areas demonstrate that the proposed surface correlation-based fingerprinting method has improved performance compared to the other conventional methods, thus proving to be a useful complementary method to the GNSS in urban areas.

scholarly journals Agritouch- An efficient smartphone based approach for rooftop gardening

2020 ◽  
pp. 19-23
Author(s):  
Muhaimenul Islam ◽  
Fahmid Shahriar
Keyword(s):  
Mobile Application ◽  
Crop Production ◽  
Agricultural Land ◽  
Service Providers ◽  
Location Based Services ◽  
Environmental Crisis ◽  
Balance Of Nature ◽  
The People ◽  
Nutritional Needs ◽  
Current Popularity

With the increasing growth of population in mega cities like Dhaka, most of the Agricultural land has given away for housing, factories, highways and other urban needs. As a result, lack of crop production as well as various environmental crisis has already been showing up with a great threat to humankind. Rooftop gardening can be an effective method to reduce this problem and the nutritional needs of the inhabitants. But for the unavailability of the necessary resources, supports and lack of awareness among the people, most of the spaces available at the rooftop are being unutilized. We have proposed an online and smartphone-based approach to overcome the above limitations. Though the current popularity of smartphones causes rising of different mobile application technologies and selecting the appropriate one could be challenging. Here we have introduced some latest technology stack that fit best to develop our application with a comparative study of the suitable geo-location-based services. AgriTouch, a smartphone app, will act as a bridge between the gardeners and the service providers to maintain the balance of nature.

scholarly journals Modelling imperfect knowledge via location semantics for realistic privacy risks estimation in trajectory data

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Stefano Bennati ◽  
Aleksandra Kovacevic
Keyword(s):  
Service Providers ◽  
Flow Analysis ◽  
Location Based Services ◽  
Location Based Service ◽  
Mobility Patterns ◽  
Trajectory Data ◽  
Imperfect Knowledge ◽  
Spatio Temporal ◽  
Definition Of ◽  
Privacy Risks

AbstractMobility patterns of vehicles and people provide powerful data sources for location-based services such as fleet optimization and traffic flow analysis. Location-based service providers must balance the value they extract from trajectory data with protecting the privacy of the individuals behind those trajectories. Reaching this goal requires measuring accurately the values of utility and privacy. Current measurement approaches assume adversaries with perfect knowledge, thus overestimate the privacy risk. To address this issue, we introduce a model of an adversary with imperfect knowledge about the target. The model is based on equivalence areas, spatio-temporal regions with a semantic meaning, e.g. the target’s home, whose size and accuracy determine the skill of the adversary. We then derive the standard privacy metrics of k-anonymity, l-diversity and t-closeness from the definition of equivalence areas. These metrics can be computed on any dataset, irrespective of whether and what kind of anonymization has been applied to it. This work is of high relevance to all service providers acting as processors of trajectory data who want to manage privacy risks and optimize the privacy vs. utility trade-off of their services.

Location-Based Services: A Road Towards Situation Awareness

2008 ◽  
Vol 61 (4) ◽  
pp. 573-589 ◽  
Author(s):  
Renato Filjar ◽  
Gordan Jezic ◽  
Maja Matijasevic
Keyword(s):  
Situation Awareness ◽  
Service Providers ◽  
Reference Model ◽  
Location Based Services ◽  
Third Party ◽  
Evolutionary Information ◽  
Ip Multimedia Subsystem ◽  
Information Process

With the widespread use of mobile devices and increased demand for mobile services, Location-Based Services (LBS) represent a promising addition to service offerings of network operators as well as third-party service providers. Based on long-term research in LBS, our group has proposed a generic Enhanced LBS Reference Model (ELRM), which describes the concept, the architecture and the functionalities of the LBS. In addition, an evolutionary information process has been identified within the LBS, that represents knowledge maturity from position awareness to situation awareness. Both the ELRM and the information evolution process in LBS are presented in this article and illustrated by a case study within the framework of the 3GPP-standardised IP Multimedia Subsystem (IMS). This case-study emphasises the opportunities for navigation- and LBS-related solutions development provided by modern telecommunication technologies.

scholarly journals A context-driven geospatial web service approach towards the design of situational awareness maps

2019 ◽  
Vol 2 ◽  
pp. 1-8
Author(s):  
Sin-Yi Ho ◽  
Jung-Hong Hong
Keyword(s):  
Spatial Data ◽  
Situational Awareness ◽  
Service Providers ◽  
Location Based Services ◽  
Human Computer Interactions ◽  
Geospatial Information ◽  
Daily Lives ◽  
Data Infrastructure ◽  
Reference Map ◽  
Application Developers

<p><strong>Abstract.</strong> The recent development of internet-based map services has dramatically change how geospatial information is presented to users, novice or professional, for improving the quality and convenience of daily lives. Especially with the innovated internet and computer graphic technology, current map services are designed with comprehensive cartographic considerations and can be simultaneously accessed by multiple clients, with which users can metaphorically establish their understanding towards the phenomena in reality, regardless of where they are. Despite location-based services become increasingly popular, the serviced contents are nevertheless often “static” and the illustration seldom or even fail to adapt to the needs of presenting continuously or periodically changing situations in the real world. From the perspective of intuitive map reading, we argue it is necessary to include the needs of “situational awareness” into the design of map services, so as to improve the human computer interactions in the clients’ application environments. A context-driven approach for the design and mashup of map services are proposed. We first identify three types of map services, namely, reference map services, application-oriented map services and atomic map services. The context of each map services are analysed based on the considerations of theme, time, weather and transportation and described by a set of pre-defined “keywords.” These standardized keywords enable application developers to define rules to select map services with correct contexts and mashup them to meet particular situation needs, e.g., a rainy day map or an emergency medical map services. As the selected map services are already defined with context considerations, their mashup results would be automatically adjusted according to the situations acquired from the clients. By enriching the situational context and enhancing the transparent access of individual map services, a flexible and powerful bridging relationship can be built between the application developers and domain service providers. The proposed approach is hence not only an innovated thinking for designing map services, but should also be seen as a crucial strategy for facilitating interoperable application environments for the ecosystem of the National Spatial Data Infrastructure.</p>

Memorizing Algorithm

2010 ◽  
Vol 2 (4) ◽  
pp. 65-86 ◽  
Author(s):  
Quynh Chi Truong ◽  
Anh Tuan Truong ◽  
Tran Khanh Dang
Keyword(s):  
Data Mining ◽  
Service Providers ◽  
Rapid Development ◽  
Adaptive Grid ◽  
Location Based Services ◽  
Location Information ◽  
Data Mining Techniques ◽  
Location Data ◽  
Spatial Grid ◽  
Theoretical Analyses

The rapid development of location-based services, which make use of the location information of the user, presents both opportunities and challenges. Users can benefit from these services; however, they must often disclose their location information, which may lead to privacy problems. In this regard, the authors propose a solution with a memorizing algorithm, using trusted middleware that organizes space in an adaptive grid where it cloaks the user’s location information in an anonymization area before sending it to the service providers. This newly introduced memorizing algorithm calculates on the spatial grid to decrease the overlapped areas as much as possible, which helps conceal users’ locations. This solution protects the user’s privacy while using the service, but also against data mining techniques with respect to their history location data. Experimental results with a user activities map establishes this theoretical analyses as well as the practical value of the proposed solution.

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