For further details contact: N.RAJASEKARAN B.E M.S 9841091117,9840103301. IMPULSE TECHNOLOGIES, Old No 251, New No 304, 2nd Floor, Arcot road , Vadapalani , Chennai-26. www.impulse.net.in Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com

1. Impulse Technologies
Beacons U to World of technology
044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in
Exact In-Network Aggregation with Integrity and Confidentiality
Abstract
In-network aggregation reduces the energy cost of processing aggregate
queries (such as SUM, MAX, etc.) in wireless sensor networks. Recently, research
has focused on secure in-network aggregation, motivated by the following two
scenarios: 1) the sensors are deployed in open and unsafe environments, and 2) the
aggregation process is outsourced to an untrustworthy service. Despite the bulk of
work on the topic, there is currently no solution providing both integrity and
confidentiality in the above scenarios. Moreover, existing solutions either return
approximate results, or have limited applicability to certain types of aggregate
queries. Our paper is the first work that provides both integrity and confidentiality
in the aforementioned scenarios, while covering a wide range of aggregates and
returning exact results. We initially present SIES, a scheme that solves exact SUM
queries through a combination of homomorphic encryption and secret sharing.
Subsequently, we show how to adapt SIES in order to support many other exact
aggregate queries (such as MAX, MEDIAN, etc.). Finally, we augment our
schemes with a functionality that identifies malicious sensors, preventing denial-
of-service (DoS) attacks and attributing robustness to the system. Our techniques
are lightweight and induce very small bandwidth consumption. Therefore, they
constitute ideal solutions for resource-constrained sensors.
Your Own Ideas or Any project from any company can be Implemented
at Better price (All Projects can be done in Java or DotNet whichever the student wants)
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