User-Defined Privacy Grid System for Continuous Location-Based Services
Jyoti Pawar1, G.P. Chakote2
1Jyoti Ganeshrao Pawar, M. Tech, Department of Computer Science & Engineering, Matsyodari Shikshan Sansthas College of Engineering and Technology, Aurangabad (Maharashtra)-431203. India.
2G.P. Chakote, Head of Department Computer Science & Engineering, Matsyodari Shikshan Sansthas College of Engineering and Technology, Aurangabad (Maharashtra)-431203. India.
Manuscript received on 23 January 2017 | Revised Manuscript received on 30 January 2017 | Manuscript published on 30 January 2017 | PP: 7-10 | Volume-5 Issue-6, January 2017 | Retrieval Number: F1643015617©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Location-based services (LBS) require users to continually report their location to a potentially unreliable server to obtain services based on location, which may expose them to confidentiality risks. Unfortunately, existing privacy techniques have several limitations, such as the requirement of a fully reliable third party offering limited privacy and high communication overhead. In this paper, we propose a user-defined privacy grid system called a dynamic grid system (DGS); The first holistic system that meets four essential requirements for the preservation of instant and continuous privacy LBS. (1) The system requires only a trusted third party responsible for the proper execution of the matching operations. This semi-reliable third party has no information about a user’s location. (2) Secure confidentiality and continued site confidentiality are warranted in our defined opponent models. (3) The cost of communication for the user does not depend on the level of confidentiality desired by the user, it depends only on the number of relevant points of interest near the user. (4) Although we only focus on range and k-neighbor-neighbor queries in this work, our system can be extended to support spatial queries without modifying the algorithms executed by the semi-reliable third party and The database server, the search area required for a spatial query can be extracted into spatial regions. The experimental results show that our DGS is more efficient than the state-of-the-art privacy technology for continuous LBS.
Keyword: Location Based Service (LBS), Dynamic Grid System (DGS), Confidentiality, Privacy Technologys.
Scope of the Article: Addressing & Location Management