7/18/2019 Privacy-preserving Optimal Meeting Location Determination on Mobile Devices

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ANDRIOD Based CLOUD COMPUTING

PRIVACY-PRESERVING OPTIMAL MEETING

LOCATIONDETERMINATION ON MOBILE DEVICES

Abstract

  State-of-the-art smart phones and mobile devices, today’s highly interconnected

urban population is increasingly dependent on these gadgets to organize and plan

their daily lives. These applications often rely on current locations of individual

users or a group of users to provide the desired service, which Risk their privacy. users

do not necessarily want to reveal their current locations to the service provider or 

to other, possibly entrusted ,users . n this paper, we propose privacy -preserving

algorithms for determining an optimal meeting location for a group of users.

!e perform a thorough privacy evaluation by formally "uantifying privacy-loss

of the proposed approaches. n order to study the performance of our algorithms in a

real deployment, we implement and test their e#ecution efficiency on smart phones.

$y means of a targeted user-study, we attempt to get an insight into the privacy-

%wareness of users in location based services%nd the usability of the proposed.

  !e propose a method for searching the location based on the user location the user 

location can be fetched &sing '(S )'lobal positioning system*. % second ob+ective of 

our work is to understand to what e#tent differences in location-sharing preferences

 between the two parties have effects on the design and likely adoption of location sharing

and location-based advertising. This pro+ect aims at using 'oogle %( and with that one

must be able to precisely locate any particular individual of a peer group of a company

team so that it is possible to schedule the meeting at one of the peer’s residence office

that can minimize the cost )time fuel* of traversal of every other individual of the peer 

group. The pro+ect can then be e#tended for multi-variant cost function so that an

effective meeting scheduler can be designed and deployed on any %ndroid device.

7/18/2019 Privacy-preserving Optimal Meeting Location Determination on Mobile Devices

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ANDRIOD Based CLOUD COMPUTING

Existing system

The e#isting system is used to find the location and to schedule the meeting.

$ut finding the location is not directly tracked from '(S.

Since some places are restricted and the correct location cannot be

identified, and before to schedule the meeting make a call to that particular

responsibilities it’s becoming a e#tra processing time at all.

Some interior area we didn’t get the '(s values )atitude and longitude*

directly, because satellite focus can’t able to get corresponding location.

Disadvantages

'(S didn’t get accurate value for the interior area.

$efore to schedule the meeting make the call manually.

t will increase the travelling Time and fuel .

7/18/2019 Privacy-preserving Optimal Meeting Location Determination on Mobile Devices

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ANDRIOD Based CLOUD COMPUTING

Pr!sed "ystem

The aim of this pro+ect is to identify the location of the employees and to

schedule meeting according to that, which satisfies all the employees in the

 peer group.

The location of the employees is tracked using the '(S in smart phones and

it gets updated in the loud storage.

$ased on the location of the employees common place is identified using

the 'oogle maps and the distance is calculated using 'oogle %( to get a

centralized place.

where the meeting can be schedule using that centralized place automatically

search the nearest hotels and resort at all.

That particular meeting location and address will send to the corresponding

employee mail id.

Advantages

!hen the '(S values didn’t get the interior area that time it will

automatically navigate the Service provider.

Reducing the time, fuel wastage of travelling.

Reduce the distance and work pressure of the employees.

location-based serices! "#ic# rel$ on s#arin% o& locations b$

a %ro'( o& 'sers in order)

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ANDRIOD Based CLOUD COMPUTING

 "ystem Re#$irements

"%t&are Re#$irements

• /perating system 0 !indows 1(

• Technology &sed 0 %ndroid 2.2

•34 0 4clipse ndigo

• 4mulators 0 %53

• (lug-in 0 %3T plug-in

• Tools used 0 %ndroid S36  

•

3atabase 0 7yS8 ,S8ite

'ard&are Re#$irements

• (rocessor 0 (entium (9

• 7otherboard 0 'enuine ntel

• R%7 0 7in : '$

• ;ard 3isk 0 <= '$

• 7obile 0 %ndroid $ased Smart phones

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ANDRIOD Based CLOUD COMPUTING