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Secure Data Discovery and Dissemination based on Hash Tree for Wireless Sensor Networks

  • Daojing He
  • , Sammy Chan
  • , Shaohua Tang
  • , Mohsen Guizani

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Wireless sensor networks (WSNs) are widely applicable in monitoring and control of environment parameters. It is sometimes necessary to disseminate data through wireless links after they are deployed in order to adjust configuration parameters of sensors or distribute management commands and queries to sensors. Several approaches have been proposed recently for data discovery and dissemination in WSNs. However, they all focus on how to ensure reliability and usually overlook security vulnerabilities. This paper identifies the security vulnerabilities in data discovery and dissemination when used in WSNs. Such vulnerabilities allow an adversary to update a network with undesirable values, erase critical variables, or launch denial-of-service (DoS) attacks. To address these vulnerabilities, this paper presents the design, implementation, and evaluation of a secure, lightweight, and DoS-resistant data discovery and dissemination protocol named SeDrip for WSNs. Our protocol takes into consideration the limited resources of sensor nodes, packet loss and out-of-sequence packet delivery. Also, it can provide instantaneous authentication without packet buffering delay, and tolerate node compromise. Besides the theoretical analysis that demonstrates the security and performance of SeDrip, this paper also reports the experimental evaluation of SeDrip in a network of resource-limited sensor nodes, which shows its efficiency in practice. © 2013 IEEE.
Original languageEnglish
Article number6594787
Pages (from-to)4638-4646
JournalIEEE Transactions on Wireless Communications
Volume12
Issue number9
Online published9 Sept 2013
DOIs
Publication statusPublished - Sept 2013

Research Keywords

  • Data discovery and dissemination
  • efficiency
  • securitywireless sensor networks

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