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Friday, November 28, 2014

Privacy-Preserving and Content-Protecting Location Based Queries


Privacy-Preserving and Content-Protecting Location Based Queries

ABSTRACT:
In this paper we present a solution to one of the location-based query problems. This problem is defined as follows: (i) a user wants to query a database of location data, known as Points Of Interest (POIs), and does not want to reveal his/her location to the server due to privacy concerns; (ii) the owner of the location data, that is, the location server, does not want to simply distribute its data to all users. The location server desires to have some control over its data, since the data is its asset. We propose a major enhancement upon previous solutions by introducing a two stage approach, where the first step is based on Oblivious Transfer and the second step is based on Private Information Retrieval, to achieve a secure solution for both parties. The solution we present is efficient and practical in many scenarios. We implement our solution on a desktop machine and a mobile device to assess the efficiency of our protocol. We also introduce a  security model and analyse the security in the context of our protocol. Finally, we highlight a security weakness of our previous work and present a solution to overcome it.

EXISTING SYSTEM:
The Location Server (LS), which offers some LBS, spends its resources to compile information about various interesting POIs. Hence, it is expected that the LS would not disclose any information without fees. Therefore the LBS has to ensure that LS’s data is not accessed by any unauthorized user. During the process of transmission the users should not be allowed to discover any information for which they have not paid. It is thus crucial that solutions be devised that address the privacy of the users issuing queries, but also prevent users from accessing content to which they do not have authorization.

DISADVANTAGES OF EXISTING SYSTEM:
·        Among many challenging barriers to the wide deployment of such application, privacy assurance is a major issue
·        The user can get answers to various location based queries,



PROPOSED SYSTEM:
] In this paper, we propose a novel protocol for location based queries that has major performance improvements with respect to the approach by Ghinita at el. And. Like such protocol, our protocol is organized according to two stages. In the first stage, the user privately determines his/her location within a public grid, using oblivious transfer. This data contains both the ID and associated symmetric key for the block of data in the private grid. In the second stage, the user executes a communicational efficient PIR, to retrieve the appropriate block in the private grid. This block is decrypted using the symmetric key obtained in the previous stage.
] Our protocol thus provides protection for both the user and the server. The user is protected because the server is unable to determine his/her location. Similarly, the server’s data is protected since a malicious user can only decrypt the block of data obtained by PIR with the encryption key acquired in the previous stage. In other words, users cannot gain any more data than what they have paid for. We remark that this paper is an enhancement of a previous work.
ADVANTAGES OF PROPOSED SYSTEM:
ü Redesigned the key structure.
ü Added a formal security model.
ü Implemented the solution on both a mobile device and desktop machine.


SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:

Ø System                          :         Pentium IV 2.4 GHz.
Ø Hard Disk                      :         40 GB.
Ø Floppy Drive                 :         1.44 Mb.
Ø Monitor                         :         15 VGA Colour.
Ø Mouse                            :         Logitech.
Ø Ram                               :         512 Mb.



SOFTWARE REQUIREMENTS:

Ø Operating system           :         Windows XP/7.
Ø Coding Language :         JAVA/J2EE
Ø IDE                      :         Netbeans 7.4
Ø Database              :         MYSQL


REFERENCE:
Russell Paulet, Md. Golam Kaosar, Xun Yi, and Elisa Bertino, Fellow, IEEE “Privacy-Preserving and Content-Protecting Location Based Queries”  IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 26, NO. 5, MAY 2014






                                     


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