Secure data aggregation protocol for sensor networks
Abstract
We propose a secure in-network data aggregation protocol with internal verification, to gain increase in the lifespan of the network by preserving bandwidth. For doing secure internal distributed operations, we show an algorithm for securely computing the sum of sensor readings in the network. Our algorithm can be generalized to any random tree topology and can be applied to any combination of mathematical functions. In addition, we represent an efficient way of doing statistical analysis for the protocol. Furthermore, we propose a novel, distributed and interactive algorithm to trace down the adversary and remove it from the network. Finally, we do bandwidth analysis of the protocol and give the proof for the efficiency of the protocol.
Degree
M.S.E.C.E.
Advisors
King, Purdue University.
Subject Area
Computer Engineering
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