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Book ChapterDOI

Using middleware as a certifying authority in LBS applications

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TLDR
The authors proposed an alternative solution which helps in avoiding a bottleneck in the existing system in terms of performance and availability as the entire client's service transactions are routed through the middleware to the actual Location Based Service Providers (LSP).
Abstract
The trusted middleware is the most commonly used solution to address the location privacy in location based services as generally such service providers are un-trusted entities that can be adversary attack sensitive points. The authors proposed an alternative solution which helps in avoiding a bottleneck in the existing system in terms of performance and availability as the entire client's service transactions are routed through the middleware to the actual Location Based Service Providers (LSP). In the proposed solution, the client and the LSPs can directly communicate with the same level of location security, privacy and anonymity. The trusted middleware is used as certifying authority that generates authentication certificates which contains the Proxy Identity (also called Pseudonyms), and the services subscribed with validity period. The encrypted certificate fulfills the authentication requirements at the LSP servers. In this paper we are reporting the implementation of the proposed system as a proof of concept using Struts Technology of Java. While evaluating the system features such as response time, delay, drop rate etc., the Google Map's location services and the internet browser have been considered as a service provider and client respectively. Performance analysis of our solution and that of prevalent architecture is done using Packmime model for http traffic generation of NS2 (Network Simulator 2) tool. The comparative graphs of the simulation results show that the proposed solution is better in terms of throughput, response time, drop rate and scalability in comparison to the existing middleware architectures in which the request response is every time routed through middleware, thus increasing the overheads.

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Citations
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Proceedings ArticleDOI

Defending Location Privacy Using Zero Knowledge Proof Concept in Location Based Services

TL;DR: In this article, the authors explored the use of zero knowledge proof for authentication and authorization in the domain of location based services and presented correspondence between the authentication techniques used in above said architecture and zero-knowledge proof technique.
Proceedings ArticleDOI

Extracting Region of Interest (ROI) Details Using LBS Infrastructure and Web-Databases

TL;DR: The broader idea of the work is to use the existing LBS infrastructure to track the user and achieve other navigation objectives in the system as the freely available up-to-date internet infrastructure is used as the information source.
Proceedings ArticleDOI

Fusion of Navigation Technology and E-learning Systems for on-the-spot Learning

TL;DR: The e-Learning system is used for the LBL with the help of navigation capabilities without modifying the existing systems, and the learning content geocoding, reverse-geocoded, and real-time learning plan generation based on the user preferences and constraints have been proposed.
Proceedings Article

Boundary Points Detection Using Adjacent Grid Block Selection (AGBS) kNN-Join Method.

TL;DR: An efficient solution for finding boundary points in multi-dimensional datasets that uses the BORDER method as a foundation which is based on Gorder knearest neighbors (kNN) join and an Adjacent Grid Block Selection (AGBS) method to compute the kNN-join of two datasets.
References
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Book

Location Based Services

TL;DR: Schiller et al. as discussed by the authors present a case study of the Find Friends application and present a middleware for location-based services for Mobile Location-Based Services (LBS).
Book ChapterDOI

A formal model of obfuscation and negotiation for location privacy

TL;DR: It is argued that obfuscation is an important technique for protecting an individual's location privacy within a pervasive computing environment and a formal framework within which obfuscated location-based services are defined is set out.

A Customizable k-Anonymity Model for Protecting Location Privacy

TL;DR: A customizable kanonymity model for protecting privacy of location data and a novel spatio-temporal cloaking algorithm, called CliqueCloak, which provides location k-anonymity for mobile users of a LBS provider.
Book ChapterDOI

Honest-verifier private disjointness testing without random oracles

TL;DR: In this article, the authors present an efficient construction of a private disjointness testing protocol that is secure against malicious provers and honest-but-curious (semi-honest) verifiers without the use of random oracles.
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