CSI: Compressed sensing-based clone identification in sensor networks

Chia Mu Yu; Chun Shien Lu; Sy Yen Kuo

doi:10.1109/PerComW.2012.6197497

CSI: Compressed sensing-based clone identification in sensor networks

Chia Mu Yu^*, Chun Shien Lu, Sy Yen Kuo

^*Corresponding author for this work

Department of Information Management and Finance

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

27 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 language	English
Title of host publication	2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012
Pages	290-295
Number of pages	6
DOIs	https://doi.org/10.1109/PerComW.2012.6197497
State	Published - 2012
Event	2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012 - Lugano, Switzerland Duration: 19 Mar 2012 → 23 Mar 2012

Publication series

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

Conference

Conference	2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012
Country	Switzerland
City	Lugano
Period	19/03/12 → 23/03/12

Keywords

Clone
Network security
Node replication attack
Sensor networks

Access to Document

10.1109/PerComW.2012.6197497

Link to publication in Scopus

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Cite this

Yu, C. M., Lu, C. S., & Kuo, S. Y. (2012). CSI: Compressed sensing-based clone identification in sensor networks. In 2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012 (pp. 290-295). [6197497] (2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012). https://doi.org/10.1109/PerComW.2012.6197497

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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.",

keywords = "Clone, Network security, Node replication attack, Sensor networks",

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Yu, CM, Lu, CS & Kuo, SY 2012, CSI: Compressed sensing-based clone identification in sensor networks. in 2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012., 6197497, 2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012, pp. 290-295, 2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012, Lugano, Switzerland, 19/03/12. https://doi.org/10.1109/PerComW.2012.6197497

CSI : Compressed sensing-based clone identification in sensor networks. / Yu, Chia Mu; Lu, Chun Shien; Kuo, Sy Yen.

2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012. 2012. p. 290-295 6197497 (2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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Yu CM, Lu CS, Kuo SY. CSI: Compressed sensing-based clone identification in sensor networks. In 2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012. 2012. p. 290-295. 6197497. (2012 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2012). https://doi.org/10.1109/PerComW.2012.6197497