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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 8, 2017.
Abstract: The now ubiquitous use of Location based services (LBS), within the mobile computing domain, has enabled users to receive accurate points of interest (POI) to their geo-tagged queries. While location-based services provide rich content, they are not without risks; specifically, the use of LBS poses many serious challenges with respect to privacy protection. Additionally, the efficiency of spatial query processing, and the accuracy of said results, can be problematic when applied to road networks. Existing approaches provide different online route APIs to deliver the precise POI, but mobile user demand not only Accurate, Efficient and Secure (AES) results, but results that do not threaten their privacy. In this paper, we have addressed these challenges by proposing an AES-Route Server (RS) approach for LBS, which supports common spatial queries, including Range Queries and k-Nearest Neighbor Queries. We can secure the user location through the proposed AES-RS model because it provides the query results accurate and efficiently. The proposed model satisfy the primary goals including accuracy, efficiency and privacy for a Location Base System.
Mohamad Shady Alrahhal, Muhammad Usman Ashraf, Adnan Abesen and Sabah Arif, “AES-Route Server Model for Location based Services in Road Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 8(8), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080847
@article{Alrahhal2017,
title = {AES-Route Server Model for Location based Services in Road Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080847},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080847},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {8},
author = {Mohamad Shady Alrahhal and Muhammad Usman Ashraf and Adnan Abesen and Sabah Arif}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.