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GLOBALSOFT TECHNOLOGIES 
IEEE PROJECTS & SOFTWARE DEVELOPMENTS 
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE 
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS 
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmai l.com 
Anonymous Query Processing in Road Networks 
Abstract 
The increasing availability of location-aware mobile devices has given rise to a flurry of 
location-based services (LBS). Due to the nature of spatial queries, an LBS needs the user 
position in order to process her requests. On the other hand, revealing exact user locations to a 
(potentially untrusted) LBS may pinpoint their identities and breach their privacy. To address 
this issue, spatial anonymity techniques obfuscate user locations, forwarding to the LBS a 
sufficiently large region instead. Existing methods explicitly target processing in the Euclidean 
space, and do not apply when proximity to the users is defined according to network distance 
(e.g., driving time through the roads of a city). In this paper, we propose a framework for 
anonymous query processing in road networks. We design location obfuscation techniques that 
(i) provide anonymous LBS access to the users, and (ii) allow efficient query processing at the 
LBS side. Our techniques exploit existing network database infrastructure, requiring no 
specialized storage schemes or functionalities. We experimentally compare alternative designs in 
real road networks and demonstrate the effectiveness of our techniques. 
Existing System 
The increasing availability of location-aware mobile devices has given rise to a flurry of 
location-based services (LBS). Due to the nature of spatial queries, an LBS needs the user 
position in order to process her requests. On the other hand, revealing exact user locations to a 
(potentially untrusted) LBS may pinpoint their identities and breach their privacy. To address
this issue, spatial anonymity techniques obfuscate user locations, forwarding to the LBS a 
sufficiently large region instead. Existing methods explicitly target processing in the Euclidean 
space, and do not apply when proximity to the users is defined according to network distance 
(e.g., driving time through the roads of a city). 
Proposed System 
we propose a framework for anonymous query processing in road networks. We design location 
obfuscation techniques that (i) provide anonymous LBS access to the users, and (ii) allow 
efficient query processing at the LBS side. Our techniques exploit existing network database 
infrastructure, requiring no specialized storage schemes or functionalities. We experimentally 
compare alternative designs in real road networks and demonstrate the effectiveness of our 
techniques. 
System Specification 
Hardware Requirements: 
• System : Pentium IV 2.4 GHz. 
• Hard Disk : 40 GB. 
• Floppy Drive : 1.44 Mb. 
• Monitor : 14’ Colour Monitor. 
• Mouse : Optical Mouse. 
• Ram : 512 Mb. 
Software Requirements:
• Operating system : Windows 7. 
• Coding Language : ASP.Net with C#

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IEEE 2014 DOTNET DATA MINING PROJECTS Anonymous query processing in road networks

  • 1. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmai l.com Anonymous Query Processing in Road Networks Abstract The increasing availability of location-aware mobile devices has given rise to a flurry of location-based services (LBS). Due to the nature of spatial queries, an LBS needs the user position in order to process her requests. On the other hand, revealing exact user locations to a (potentially untrusted) LBS may pinpoint their identities and breach their privacy. To address this issue, spatial anonymity techniques obfuscate user locations, forwarding to the LBS a sufficiently large region instead. Existing methods explicitly target processing in the Euclidean space, and do not apply when proximity to the users is defined according to network distance (e.g., driving time through the roads of a city). In this paper, we propose a framework for anonymous query processing in road networks. We design location obfuscation techniques that (i) provide anonymous LBS access to the users, and (ii) allow efficient query processing at the LBS side. Our techniques exploit existing network database infrastructure, requiring no specialized storage schemes or functionalities. We experimentally compare alternative designs in real road networks and demonstrate the effectiveness of our techniques. Existing System The increasing availability of location-aware mobile devices has given rise to a flurry of location-based services (LBS). Due to the nature of spatial queries, an LBS needs the user position in order to process her requests. On the other hand, revealing exact user locations to a (potentially untrusted) LBS may pinpoint their identities and breach their privacy. To address
  • 2. this issue, spatial anonymity techniques obfuscate user locations, forwarding to the LBS a sufficiently large region instead. Existing methods explicitly target processing in the Euclidean space, and do not apply when proximity to the users is defined according to network distance (e.g., driving time through the roads of a city). Proposed System we propose a framework for anonymous query processing in road networks. We design location obfuscation techniques that (i) provide anonymous LBS access to the users, and (ii) allow efficient query processing at the LBS side. Our techniques exploit existing network database infrastructure, requiring no specialized storage schemes or functionalities. We experimentally compare alternative designs in real road networks and demonstrate the effectiveness of our techniques. System Specification Hardware Requirements: • System : Pentium IV 2.4 GHz. • Hard Disk : 40 GB. • Floppy Drive : 1.44 Mb. • Monitor : 14’ Colour Monitor. • Mouse : Optical Mouse. • Ram : 512 Mb. Software Requirements:
  • 3. • Operating system : Windows 7. • Coding Language : ASP.Net with C#