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Published
Mar 5, 2015
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Abstract

Location privacy in Location Based Services (LBS) is the ability to protect the association between user’s identity, query sources, servers and database, thereby preventing an impending attacker from easily linking users of LBS to certain locations. Smart Phones have become most important gadget for maintaining the daily activities, highly interconnected urban population is also increasingly dependent on these gadgets to regulate and schedule their daily lives. These applications often depend on current location of user or a class of user. Use of Smart Mapping technology is also increasing in large area; this system provides an easy accessible online platform that can be used by head office, regional managers. This survey paper projects the privacy-preserving algorithm to find the most favorable meeting location for a class of users. GSM calculates the location of all users.

Keywords— Location Privacy, Global System for Mobile Communication (GSM)

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Author Biographies

Ms. Shivani Singh Chandel

M.E. Wireless Communication & Computing, Nagpur

Mrs. Parul Bhanarkar, T.G.P. College, Nagpur

H.O.D

T.G.P. College, Dept.of Information Technology, Nagpur

How to Cite
Chandel, M. S. S., & Bhanarkar, M. P. (2015). Identifying Feasible Central Meeting Location from Multiple Geo-Points. International Journal of Emerging Trends in Science and Technology, 2(03). Retrieved from http://igmpublication.org/ijetst.in/index.php/ijetst/article/view/528

References

1. Igor Bilogrevic, Murtuza Jadliwala, Vishal Joneja,“ Privacy-Preserving Optimal Meeting Location Determination on Mobile Devices”, IEEE Transactions on Information Forensics and Security , Vol. 9, NO. 7,2014.
2. Rinku Dewri and Ramakrishna Thurimella, “Exploiting Service Similarity in Location Based Search Queries, “IEEE Transaction on Parallel and Distributed, February 2014.
3. Jing Liu, Zechao Li, Jinhui Tang, “Personalized Geo-Specific Tag Recommendation for Photos on Social Websites”, IEEE Transaction on Multimedia, Vol. 16, NO. 3, April 2014.
4. Linke Guo, Chi Zhang, “Privacy-Preserving Revocable Content Sharing in Geosocial Networks”, IEEE Conference on Communication and Network Security,2013.
5. Muhammad Ridhwan Ahmad Fuad and Micheal Drieberg, “Remote Vehicle Tracking System using GSM Modem and Google Map”, IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, 2013 .
6. Wei Li, Wei Jiao, Guangye Li, “A LOCATION PRIVACY PRESERVING ALGORITHM FOR MOBILE LBS”, IEEE CCIS, 2012.
7. Wei Xin, Cong Tang, Tao Yang,Hui Ping sun, Zhong Chen, “Towards-Privacy Preserving RFID-Based Location Based Services”,IEEE International Conference on Fuzzy System and Knowledge Discovery, 2012.
8. Jianliang Xu, Xueyan Tang, “Privacy-Conscious Location-Based Queries in Mobile Environments”, IEEE Transactions on Parallel and Distributed Systems , VOL. 21, NO. 3, MARCH 2010
9. Hanunah Othman, Habibah Hashim, Jamalul-lail Ab Manan, “Privacy Preservation in Location-Based Services (LBS) Through Trusted Computing Technology”, IEEE International Conference on Communication, December 2009.
10. Leone C. Monticone, Richard E. Snow, “Minimizing Great-Circle Distance Ratios of Undesired and Desired Signal Paths on a Spherical Earth”, IEEE Transaction on vehicular technology, Vol. 58, NO. 9, November 2009.