Sum Aggregation of Time – Series Data with new Preserving System
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2015 by IJCTT Journal|
|Year of Publication : 2015|
|Authors : T.Manasa|
|DOI : 10.14445/22312803/IJCTT-V27P109|
T.Manasa "Sum Aggregation of Time – Series Data with new Preserving System". International Journal of Computer Trends and Technology (IJCTT) V27(1):51-57, September 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
The usages of mobile devices are increasing rapidly. Such as a smart mobiles and having the variety of mobile sensing applications. Here we may note that the most previous works on the sensor data aggregation assume a trusted aggregator and in mobile sensing applications cannot facilitating the protect user privacy against an un trusted aggregator. Here they do not consider the data aggregation. To attain that we derived a new privacy-preserving protocol. To perform efficient aggregation the techniques like Homomorphism encryption and a novel, HMAC based key management are utilized. We projected two method to derivating the Min aggregation of the time series data. In that first can attain accurate Min, another one attain approximate Min. With this attestable blunder certification at a great deal of low cost. For managing the dynamic joins and leaves we are proposed a scheme. That can exploit the redundancy in security to decreasing the communication cost for every join and leaves. The simulation results can show how much our scheme has much lower communication overhead then exist.
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The simulation results can show how much our scheme has much lower communication overhead then exist.