scholarly journals One Model of Geo-Location Services for Telecom Operators

2016 ◽  
Vol 10 (2) ◽  
pp. 19
Author(s):  
Dr. Yousef Ibrahim Daradkeh ◽  
Mujahed ALdhaifallah ◽  
Dmitry Namiot
Keyword(s):  
Mobile Networks ◽  
Location Based Services ◽  
Location Information ◽  
Competitive Advantages ◽  
Location Based Service ◽  
Location Services ◽  
Location Data ◽  
Data Channel ◽  
Traditional Service

This paper discusses location-based service for telecom providers. Most of the location-based services in the mobile networks are introduced and deployed by Internet companies. It leaves for telecom just the role of the data channel. Telecom providers should use their competitive advantages and offer own solutions. In our article, we discuss the sharing location information via geo messages. Geo messages let mobile users share location information as signatures to the standard messages (e.g., email, SMS). Rather than let some service constantly monitor (poll) the user’s location (as the most standalone services do) or share location info within any social circle (social network check-in, etc.) The Geo Messages approach lets users share location data on the peer to peer basis. Users can share own location info with any existing messaging systems. And messaging (e.g., SMS) is the traditional service for telecom.

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.

On the Use of Optimal Stopping Theory for Secret Sharing Scheme Update

2013 ◽  
pp. 276-295 ◽  
Author(s):  
Constantinos Delakouridis ◽  
Leonidas Kazatzopoulos
Keyword(s):  
Secret Sharing ◽  
Information Disclosure ◽  
Location Privacy ◽  
Location Based Services ◽  
Location Information ◽  
Cloud Infrastructure ◽  
Location Update ◽  
Location Services ◽  
Optimal Thresholds ◽  
Cryptographic Techniques

The location privacy issue has been addressed thoroughly so far. Cryptographic techniques, k-anonymity-based approaches, spatial obfuscation methods, mix-zones, pseudonyms, and dummy location signals have been proposed to enhance location privacy. In this chapter, the authors propose an approach, called STS (Share The Secret) that segments and distributes the location information to various, non-trusted, entities from where it will be reachable by authenticated location services. This secret sharing approach prevents location information disclosure even in situation where there is a direct observation of the target. The proposed approach facilitates end-users or location-based services to classify flexible privacy levels for different contexts of operation. The authors provide the optimal thresholds to alter the privacy policy levels when there is a need for relaxing or strengthening the required privacy. Additionally, they discuss the robustness of the proposed approach against various adversary models. Finally, the authors evaluate the approach in terms of computational and energy efficiency, using real mobile applications and location update scenarios over a cloud infrastructure, which is used to support storage and computational tasks.

Rancang Bangun Aplikasi Location Based Service Butik Berbasis Android

2018 ◽  
Vol 1 (1) ◽  
pp. 1-12
Author(s):  
Agus Q Munir ◽  
Harum Setyoningsih
Keyword(s):  
Operating System ◽  
Location Based Services ◽  
Location Information ◽  
Time Cost ◽  
Location Based Service ◽  
Tourist Destinations ◽  
Cultural Interest ◽  
Map Service ◽  
Service Location ◽  
Selection Of

 Yogyakarta was one of Indonesian tourist destinations that had potentials from its art and cultural interest. This was indeed supported mode development that was also one of art-cultural forms. Along with the era development, it was established a mode appreciation in Yogyakarta namely a boutique. The intense of boutiques in Yogyakarta had become various modes created so that it sometimes made customers had difficulties to determine which boutique to visit. This kind of condition was not effective towards time, cost and employees. Therefore, it needed a technology that was able to help customers in selecting boutiques. The study was designed and built using the Android mobile operating system is a variant of a mobile operating system developed from the Linux operating system. Android has a location-based service location-based service that is used to display and manipulate maps. Technology location based services using android smartphone media can create applications that are useful in the selection of modes available in every boutique and facilitate the search location by using maps and routes that connect to the google map service. The results of this study are based apps location-based service boutique android for the selection of boutique and can help facilitate in finding boutique location information.

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.

Memorizing Algorithm

Cyber Crime ◽  
2013 ◽  
pp. 600-617
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.

scholarly journals INDOOR SPACE LOCATION MODEL BASED ON LOCATION SERVICE

2017 ◽  
Vol XLII-4/W7 ◽  
pp. 49-53
Author(s):  
Y. Zhou ◽  
G. Zeng ◽  
Y. Huang ◽  
X. Yang
Keyword(s):  
Spatial Information ◽  
Indoor Navigation ◽  
Location Model ◽  
Location Information ◽  
Location Based Service ◽  
Location Services ◽  
Indoor Location ◽  
Indoor Space ◽  
Location Service ◽  
Space Model

Location is the basis for the realization of location services, the integrity of the location information and its way of representation in indoor space model directly restricts the quality of location services. The construction of the existing indoor space model is mostly for specific applications and lack of uniform representation of location information. Several geospatial standards have been developed to meet the requirement of the indoor spatial information system, among which CityGML LOD4 and IndoorGML are the most relevant ones for indoor spatial information. However, from the perspective of Location Based Service (LBS), the CityGML LOD4 is more inclined to visualize the indoor space. Although IndoorGML is mainly used for indoor space navigation and has description (such as geometry, topology, and semantics) benefiting for indoor LBS, this standard model lack explicit representation of indoor location information. In this paper, from the perspective of Location Based Service (LBS), based on the IndoorGML standard, an indoor space location model (ISLM) conforming to human cognition is proposed through integration of the geometric and topological and semantic features of the indoor spatial entity. This model has the explicit description of location information which the standard indoor space model of IndoorGML and CityGML LOD4 does not have, which can lay the theoretical foundation for indoor location service such as indoor navigation, indoor routing and location query.

Memorizing Algorithm

2012 ◽  
pp. 242-260
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.

scholarly journals Location Based Services for Sharing Using Trusted Server

2020 ◽  
pp. 68-73
Keyword(s):  
Social Networks ◽  
Location Privacy ◽  
Location Based Services ◽  
Location Information ◽  
Location Based Service ◽  
Privacy Concerns ◽  
Computational Overhead ◽  
Location Sharing ◽  
Current Location ◽  
Cryptographic Primitive

The main aim of location-sharing is to provide current location information to their designated users. Nowadays, Location Based Service (LBS) has become one of the popular services which are provided by social networks. As LBS activity makes use of the user's identity and current location information, an appropriate path has to be utilized to protect the location privacy. However, as per our knowledge, there is no access to protecting the location sharing with the complete privacy of the location. To consider this issue, we put forward a new cryptographic primitive functional pseudonym for location sharing that make sure privacy of the data. Also, the proposed approach notably reduces the computational overhead of users by delegating part of the computation for location sharing to a server, therefore it is endurable. The primitive can be widely used in many MOSNs to authorize LBS with enhanced privacy and sustainability. As a result, it will contribute to proliferate LBS by eliminating user's privacy concerns.

scholarly journals A Hybrid Location Privacy Solution for Mobile LBS

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Ruchika Gupta ◽  
Udai Pratap Rao
Keyword(s):  
Location Privacy ◽  
Homomorphic Encryption ◽  
Location Based Services ◽  
Third Party ◽  
Location Services ◽  
Trusted Third Party ◽  
Location Data ◽  
Complete Knowledge ◽  
Current Location ◽  
Hybrid Solution

The prevalent usage of location based services, where getting any service is solely based on the user’s current location, has raised an extreme concern over location privacy of the user. Generalized approaches dealing with location privacy, referred to as cloaking and obfuscation, are mainly based on a trusted third party, in which all the data remain available at a central server and thus complete knowledge of the query exists at the central node. This is the major limitation of such approaches; on the other hand, in trusted third-party-free framework clients collaborate with each other and freely communicate with the service provider without any third-party involvement. Measuring and evaluating trust among peers is a crucial aspect in trusted third-party-free framework. This paper exploits the merits and mitigating the shortcomings of both of these approaches. We propose a hybrid solution, HYB, to achieve location privacy for the mobile users who use location services frequently. The proposed HYB scheme is based on the collaborative preprocessing of location data and utilizes the benefits of homomorphic encryption technique. Location privacy is achieved at two levels, namely, at the proximity level and at distant level. The proposed HYB solution preserves the user’s location privacy effectively under specific, pull-based, sporadic query scenario.

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