Downloads: 108 | Views: 282
Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 12, December 2015 | Popularity: 6.9 / 10
Survey on Secured Multi Sink Data Aggregation Scheme in Mobile Sensing
Tejashree Borbande, Vikas Maral
Abstract: Smart Mobile phones especially are getting more and more importance in day to day life. These mobile phones are now facilitated with number of applications that are using sensors such as camera, microphone, GPS, accelerometer, ambient light sensor, gyroscope, and so on. With the help of large numbers of individual participants, aggregation which is computed from data is really useful and helps to predict the statistics of Result. Aggregation guarantees more privacy of the data from individual participants. This paper provides a solution for preserving the individual participants privacy by using aggregate function like Sum, Min. Calculation of Sum aggregation is done without releasing the participants information. Min aggregation is calculated using Sum aggregation. Min aggregation is nothing but minimum value of data. In this paper, a multi-hop network is considered where, there is a main aggregator at the highest level and mobile nodes are considered at lowest level and in between node sink are used at middle level. This system deals with dynamic leaves and joins in mobile sensing using the timestamp of the participants.
Keywords: Encryption, Multi-hop network, Mobile Sensing, Data Aggregator, Privacy
Edition: Volume 4 Issue 12, December 2015
Pages: 2017 - 2020
DOI: https://www.doi.org/10.21275/NOV152431
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 104
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015
Pages: 3273 - 3277Homomorphic Encryption & A Novel Key Management Technique to Support Data Aggregation in Mobile Sensing
Farhat Afshan, Shameem Akther
Downloads: 113
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 10, October 2015
Pages: 1356 - 1358A Survey Paper on FriendFinder: A Lifestyle based Friend Recommender App for Smart Phone Users
Chinar Bhandari, Asst Prof. M.D Ingle
Downloads: 114
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 5 Issue 6, June 2016
Pages: 2542 - 2545Myfriend: A User Preference Based Friend Recommendation System for Social Networks
Amrutha O, Mohammed Jaseem N
Downloads: 115
Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014
Pages: 2558 - 2561A Survey Paper on Muti-Hop Privacy-Aware Data Aggregation in Mobile Sensing
D. N. Rewadkar, Asmita D. Abhyankar
Downloads: 127
Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 5, May 2016
Pages: 562 - 565PATA: A Protocol for Mobile Sensing Privacy-Aware and Trustworthy Data Aggregation
Devendra Hapase, M. D. Ingle