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RSDA: Reputation-based Secure Data Aggregation in Wireless Sensor Networks

Alzaid, Hani, Foo, Ernest, & Gonzalez Nieto, Juan (2008) RSDA: Reputation-based Secure Data Aggregation in Wireless Sensor Networks. In 1st International Workshop on Sensor Networks and Ambient Intelligence (SeNAmI 2008), December 1-4, 2008, Dunedin, New Zealand. (In Press)

Abstract

Wireless Sensor Networks (WSNs) are a new technology that is expected to be used in the near future due to its cheap cost and data processing ability. However, securing WSNs with traditional cryptographic mechanism is insufficient because of the existing limited resources and the lack of tamper resistant hardware. In this paper, we propose a Reputation-based Secure Data Aggregation for WSNs (RSDA) that integrates aggregation functionality with the advantages provided by a reputation system to enhance the network lifetime and the accuracy of the aggregated data. We bind symmetric secret keys to geographic locations and assign these keys to sensor nodes based on their locations. RSDA therefore can resist an adversary that is capable to compromise up to W sensor nodes in total with no more than t − 1 compromised nodes in any cell.

Impact and interest:

10 citations in Scopus
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8 citations in Web of Science®

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ID Code: 14646
Item Type: Conference Paper
Additional URLs:
Subjects: Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > COMMUNICATIONS TECHNOLOGIES (100500) > Computer Communications Networks (100503)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2008 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 01 Sep 2008
Last Modified: 29 Feb 2012 23:49

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