ABSTRACT
Location-based
services (LBS) require users to continuously report their location to a
potentially untrusted server to obtain services based on their location, which
can expose them to privacy risks. Unfortunately, existing privacy-preserving
techniques for LBS have several limitations, such as requiring a fully - trusted
third party, offering limited privacy guarantees and incurring high
communication overhead. In this paper, we propose a user-defined privacy grid
system called dynamic grid system (DGS); the first holistic system that
fulfills four essential requirements for privacy-preserving snapshot and
continuous LBS. (1) The system only requires a semi-trusted third party,
responsible for carrying out simple matching operations correctly. This
semi-trusted third party does not have any information about a user’s location.
(2) Secure snapshot and continuous location privacy is guaranteed under our
defined adversary models. (3) The communication cost for the user does not
depend on the user’s desired privacy level, it only depends on the number of
relevant points of interest in the vicinity of the user. (4) Although we only
focus on range and k-nearest-neighbor queries in this work, our system can be
easily extended to support other spatial queries without changing the
algorithms run by the semi-trusted third party and the database server,
provided the required search area of a spatial query can be abstracted into
spatial regions. Experimental results show that our DGS is more efficient than
the state-of-the-art privacy-preserving technique for continuous LBS.
AIM
The
aim of this paper is propose a user-defined privacy grid system called dynamic
grid system (DGS); the first holistic system that fulfills four essential
requirements for privacy-preserving snapshot and continuous LBS
SCOPE
The
scope of this paper is show that our DGS is more efficient than the
state-of-the-art privacy-preserving technique for continuous LBS.
EXISTING SYSTEM
LBS
can be very valuable and as such users should be able to make use of them
without having to give up their location privacy. A number of approaches have
recently been proposed for preserving the user location privacy in LBS. In general,
these approaches can be classified into two main categories.
· Fully-trusted
third party (TTP).
· Privacy
leakage.
· Service
termination
DISADVANTAGES
· Requiring
a fully - trusted third party
· Offering
limited privacy guarantees
· Incurring
high communication overhead
PROPOSED SYSTEM
In
this project, propose a user-defined
privacy grid system called dynamic grid system (DGS) to provide
privacy-preserving snapshot and continuous LBS. The main idea is to place a
semitrusted third party, termed query server (QS), between the user and the
service provider (SP). QS only needs to be semi-trusted because it will not
collect/store or even have access to any user location information.
Semi-trusted in this context means that while QS will try to determine the
location of a user, it still correctly carries out the simple matching
operations required in the protocol, i.e., it does not modify or drop messages
or create new messages. An untrusted QS would arbitrarily modify and drop
messages as well as inject fake messages, which is why our system depends on a
semi-trusted QS.
ADVANTAGES
· The
system only requires a semi-trusted third party, responsible for carrying out
simple matching operations correctly. This semi-trusted third party does not
have any information about a user’s location.
· The
communication cost for the user does not depend on the user’s desired privacy
level, it only depends on the number of relevant points of interest in the
vicinity of the user
SYSTEM ARCHITECTURE
SYSTEM CONFIGURATION
HARDWARE REQUIREMENTS:-
· Processor - Pentium –III
·
Speed - 1.1 Ghz
·
RAM - 256 MB(min)
·
Hard
Disk - 20 GB
·
Floppy
Drive - 1.44 MB
·
Key
Board - Standard Windows Keyboard
·
Mouse - Two or Three Button Mouse
·
Monitor -
SVGA
SOFTWARE REQUIREMENTS:-
·
Operating
System : Android OS
·
Front
End : JAVA
·
Database
: SqLite
·
Tool :Eclipse
REFERENCES
Chow, C. ;
Huang, Q. ; Wong, D. ; Schlegel, R “USER-DEFINED PRIVACY GRID SYSTEM FOR
CONTINUOUS LOCATION-BASED SERVICES” Mobile Computing, IEEE Transactions on (Volume:PP ,
Issue: 99 ) January 2015
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