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CSI: Compressed sensing-based clone identification in sensor networks

  • Chia Mu Yu*
  • , Chun Shien Lu
  • , Sy Yen Kuo
  • *Corresponding author for this work
  • National Taiwan University
  • Academia Sinica - Institute of Information Science

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

32 Scopus citations

Abstract

The clone detection, aiming to detect the illegal copies with all of the credentials of legitimate sensor nodes, is of great importance for sensor networks because of the substantial impact of clones on network operations like routing, data collection, and key distribution, etc. Based on a state-of-the-art signal processing technique, compressed sensing, we propose a novel clone detection method, called CSI. Not only is the design philosophy fundamentally different from the existing methods, but also it has the lowest communication cost among all detection methods. The performance and security of CSI will be demonstrated by numerical simulations and analyses.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012
Pages290-295
Number of pages6
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012 - Lugano, Switzerland
Duration: 19 03 201223 03 2012

Publication series

Name2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012

Conference

Conference2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012
Country/TerritorySwitzerland
CityLugano
Period19/03/1223/03/12

Keywords

  • Clone
  • Network security
  • Node replication attack
  • Sensor networks

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