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Copyright © 2015 LeMeniz Infotech. All rights reserved
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LeMeniz Infotech
36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue,
Pondicherry-605 005.
Call: 0413-4205444, +91 9566355386, 99625 88976.
Web : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Privacy-Preserving Indoor Localization on
Smartphones
Abstract
WiFi-based positioning systems have recently received considerable
attention, mainly because GPS is unavailable in indoor spaces and consumes
considerable energy. On the other hand, predominant Smartphone OS localization
subsystems currently rely on server-side localization processes, allowing the
service provider to know the location of a user at all times. In this paper, we
propose an innovative algorithm for protecting users from location tracking by the
localization service, without hindering the provisioning of fine-grained location
updates on a continuous basis. Our proposed Temporal Vector Map (TVM)
algorithm, allows a user to accurately localize by exploiting a k-Anonymity Bloom
(kAB) filter and a bestNeighbors generator of camouflaged localization requests,
both of which are shown to be resilient to a variety of privacy attacks. We have
evaluated our framework using a real prototype developed in Android and Hadoop
HBase as well as realistic WiFi traces scaling-up to several GBs. Our analytical
evaluation and experimental study reveal that TVM is not vulnerable to attacks that
traditionally compromise k-anonymity protection and indicate that TVM can offer
fine-grained localization in approximately four orders of magnitude less energy
and number of messages than competitive approaches.
EXISTING SYSTEM
Wi Fi-based positioning systems used in existing system. GPS is unavailable
in indoor spaces and consumes considerable energy.

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Copyright © 2015 LeMeniz Infotech. All rights reserved
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LeMeniz Infotech
36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue,
Pondicherry-605 005.
Call: 0413-4205444, +91 9566355386, 99625 88976.
Web : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
DRAWBACK OF EXISTING SYSTEM
 Rely on server-side.
 Service provider to know the location of a user at all times
PROPOSED SYSTEM
Protecting users from location tracking by the localization service, without
hindering the provisioning of fine-grained location updates on a continuous basis.
Our proposed Temporal Vector Map (TVM) algorithm, allows a user to accurately
localize by exploiting a k-Anonymity Bloom (kAB) filter and a bestNeighbors
generator of camouflaged localization requests, both of which are shown to be
resilient to a variety of privacy attacks.
ADVANTAGE OF PROPOSED SYSTEM
 TVM is not vulnerable to attacks that traditionally compromise k-anonymity
protection.
 Fine-grained localization.
 Less energy for magnitude.
 Energy-efficient manner and without expensive additional hardware.
 It provide the accurate location (position) of a user.
SYSTEM SPECIFICATION
Hardware Requirements
System : Pentium IV 2.4 GHz
Hard Disk : 40 GB

3. Do Your Projects With Domain Experts…
Copyright © 2015 LeMeniz Infotech. All rights reserved
Page number 3
LeMeniz Infotech
36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue,
Pondicherry-605 005.
Call: 0413-4205444, +91 9566355386, 99625 88976.
Web : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Floppy Drive : 1.44 Mb
Monitor : 15 VGA Colour
Mouse : Logitech
Ram : 512 Mb
Software Requirements
Operating system : Windows Family
Tools : eclipse
Technology Used : Java
Backend Used : SQLITE