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Quality Enhancement of Location Based Services Through Real Time Context Aware Obfuscation Using Crowd Sourcing

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10409))

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Abstract

Widespread usage of Location based services (LBS) has eventually raised the concern for user’s privacy. Various privacy preserving techniques are based on the idea of forwarding cloaking area to service provider who might be untrusted party, instead of actual location of query issuer/client. For such scenarios, in which cloaking area is exploited for privacy, results of the query request are generally based on nearest distance between client and service requested. Such techniques do not include real time context which is important in determining security, accessibility, etc. of the service and enhancing service quality. In this work, a novel method, based on crowd-sourcing concept has been proposed which takes into account the real time context for determining results of query. A system consisting of real time context-aware component is coined. Real time context has been obtained through crowd-resources available in cloaking area of client. A fuzzy inference system (FIS) has been proposed which takes nearest distance and real time context parameters as input. Based on these parameters FIS generates a new rank for the service requested. This rank is the new position on the answer list for the service requested. A prototype of the proposed system is implemented. Evaluation of prototype has been done by taking feedback of 112 users about their satisfaction in the range (0–10). User feedback for the prototype is compared with feedback of other similar systems using Kruskal Wallis test for significant differences. It has been discovered that user satisfaction for proposed system stochastically dominates other prevalent systems.

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Authors and Affiliations

  1. School of Information Technology, Indian Institute of Technology, Hauz Khas, New Delhi, 110016, India

    Priti Jagwani

  2. Department of Computer Science and Engineering, Indian Institute of Technology, Hauz Khas, New Delhi, 110016, India

    Saroj Kaushik

Authors
  1. Priti Jagwani
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  2. Saroj Kaushik
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Corresponding author

Correspondence to Priti Jagwani .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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Jagwani, P., Kaushik, S. (2017). Quality Enhancement of Location Based Services Through Real Time Context Aware Obfuscation Using Crowd Sourcing. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10409. Springer, Cham. https://doi.org/10.1007/978-3-319-62407-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-62407-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62406-8

  • Online ISBN: 978-3-319-62407-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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