Back to Current Issues

K-Anonymous Privacy Preserving Technique for Participatory Sensing With Multimedia Data Over Cloud Computing

K.Lakshmi, J.Hemalatha, Farooq Basha

Affiliations
Asst.Prof, G.Pullaiah College of Engineering and Technology, Kurnool.
:10.22362/ijcert/2017/v4/i2/xxxx [UNDER PROCESS]


Abstract
Nowadays distinctions of sensing facilities equipped with mobile wireless devices. Likewise, different service provider named participatory sensing system made available which gives outstanding life experience to users. Nevertheless, there are many challenges like privacy and multimedia data quality. There is no any earlier system that can resolve problems of confidentiality and quality, preserving participatory sensing system with multimedia data. Slicer is a K-anonymous privacy preservation scheme for participatory sensing with multimedia data over cloud framework. It combines data coding methods and message transfer strategies. To get the secure protection of user’s high data quality and also maintains privacy. Minimal Cost Transfer and Transfer On Meet-up, these are two data transfer strategies. For Minimal Cost Transfer, two parallel algorithms used. i.e., approximation algorithm and Heuristic algorithm. Slicer provides data quality with low communication.


Citation
K.Lakshmi et.al, “K-Anonymous Privacy Preserving Technique for Participatory Sensing With Multimedia Data Over Cloud Computing”, International Journal Of Computer Engineering In Research Trends, 4(2):48-52, February-2017.


Keywords : Cloud mobile sensing, privacy preservation, anonymity, data aggregation

References
1.	J. Burke, D. Estrin, M. Hansen, A. Parker, N.Ramanathan, S. Reddy, and M. B. Srivastava,“Participatory sensing,” presented at the First Workshop World-Sensor-Web 4th ACM Conf.Embedded Netw. Sen. Syst., Boulder, CO, USA, Oct.2006.
2.	”The world in 2013: ICT Facts and Figures,” International Telecommunication Union. [Online]. Available: http://www.itu.int,2013. 
3.	 R. K. Ganti, N. Pham, H. Ahmadi, S. Nangia, and T. F.Abdelzaher, “GreenGPS: A participatory sensing fuelefficient maps application,” presented at the 8th Int.Conf. Mobile Syst., Appl. Serv., San Francisco, CA,USA, Jun. 2010.  
4.	 X. O. Wang, W. Cheng, P. Mohapatra, and T. Abdelzaher,”Adsense: Anonymous reputation and trust in participatory sensing,” presented at the 32nd IEEE Int. Conf. Comput. Commun., Turin, Italy, Apr. 2013.
5.	E. D. Cristofaro and C. Soriente,”Participatory privacy: Enabling privacy in participatory sensing,” IEEE Netw., vol. 27, no. 1, pp. 3236, Jan./Feb. 2013.
6.	R. Chen, I. E. Akkus, and P. Francis, ”SplitX: High-performance private analytics,” presented at the ACM Special Interest Group Data Commun., Hong Kong, China, Aug. 2013.
7.	 N. Xia, H. H. Song, Y. Liao, M. Iliofotou, A. Nucci, Z.-L. Zhang, and A. Kuzmanovic,”Mosaic: Quantifying privacy leakage in mobile networks,” presented at the ACM Special Interest Group on Data Commun., Hong Kong, China, Aug. 2013.
8.	S. Han, V. Liu, Q. Pu, S. Peter, T. Anderson, A. Krishnamurthy,and D. Wetherall, ”Expressive privacy control with pseudonyms”presented at the ACM Special Interest Group Data Commun., Hong Kong, China, Aug. 2013.
9.	N. Kumar, N. Chilamkurti, and J. J. Rodrigues,”Learning automatabasedopportunistic data aggregation and forwarding scheme for alert generation in vehicular ad hoc networks,”Comput. Commun., vol. 39, pp. 2232, 2014.
10.	N. Kumar, N. Chilamkurti, and J. J. Rodrigues,”Privacy-aware message exchanges for HumaNets,”Comput. Commun., vol. 39, pp. 2232, 2014.

11.	Participatory Sensing: Applications and Architecture Deborah Estrin University of California, Los Angeles  : http://www.cs.cornell.edu/~destrin/resources/conferences/2010-Estrin-participatory-sensing-mobisys.pdf



DOI Link : Not yet assigned

Download :
  V4I207.pdf


Refbacks : There are currently no refbacks

Quick Links


DOI:10.22362/ijcert


Science Central

Score: 13.30



Submit your paper to editorijcert@gmail.com

>