An Eclat algorithm based energy detection for cognitive radio networks

Fan Jin; Vijay Varadharajan; Udaya Tupakula

doi:10.1109/Trustcom/BigDataSE/ICESS.2017.358

An Eclat algorithm based energy detection for cognitive radio networks

Fan Jin
, Vijay Varadharajan
, Udaya Tupakula

School of Science & Technology

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

2 Citations (Scopus)

Abstract

<div xmlns="http://www.w3.org/1999/xhtml"><p>Cognitive radio (CR) can improve the utilization of the spectrum by making use of licensed spectrum in an opportunistic manner. The sensing reports from all the CR nodes are sent to a Fusion Centre (FC) which aggregates these reports and takes decision about the presence of the PU, based on some decision rules. Such a collaborative sensing mechanism forms the foundation of any centralised CRN. However, this collaborative sensing mechanism provides more opportunities for malicious users (MUs) hiding in the legal users to launch spectrum sensing data falsification (SSDF) attacks. In an SSDF attack, some malicious users intentionally report incorrect local sensing results to the FC and disrupt the global decision-making process. To mitigate SSDF attacks, an Eclat algorithm based detection strategy is proposed in this paper for finding out the colluding malicious nodes. Simulation results show that the sensing performance of the scheme is better than the traditional majority based voting decision in the presence of SSDF attacks.<p></div>

Original language	English
Title of host publication	Proceedings: the 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, the 11th IEEE International Conference on Big Data Science and Engineering, the 14th IEEE International Conference on Embedded Software and Systems
Place of Publication	United States of America
Publisher	Institute of Electrical and Electronics Engineers
Pages	1096-1102
ISBN (Print)	9781509049066, 9781509049059
DOIs	https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.358
Publication status	Published - 2017
Event	2017 IEEE Trustcom/BigDataSE/ICESS - Sydney, Australia Duration: 1 Aug 2017 → 4 Aug 2017

Conference

Conference	2017 IEEE Trustcom/BigDataSE/ICESS
Country/Territory	Australia
City	Sydney
Period	1/08/17 → 4/08/17

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https://hdl.handle.net/1959.11/57282

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Jin, F., Varadharajan, V., & Tupakula, U. (2017). An Eclat algorithm based energy detection for cognitive radio networks. In Proceedings: the 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, the 11th IEEE International Conference on Big Data Science and Engineering, the 14th IEEE International Conference on Embedded Software and Systems (pp. 1096-1102). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.358

Jin, Fan ; Varadharajan, Vijay ; Tupakula, Udaya. / An Eclat algorithm based energy detection for cognitive radio networks. Proceedings: the 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, the 11th IEEE International Conference on Big Data Science and Engineering, the 14th IEEE International Conference on Embedded Software and Systems. United States of America : Institute of Electrical and Electronics Engineers, 2017. pp. 1096-1102

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title = "An Eclat algorithm based energy detection for cognitive radio networks",

abstract = "Cognitive radio (CR) can improve the utilization of the spectrum by making use of licensed spectrum in an opportunistic manner. The sensing reports from all the CR nodes are sent to a Fusion Centre (FC) which aggregates these reports and takes decision about the presence of the PU, based on some decision rules. Such a collaborative sensing mechanism forms the foundation of any centralised CRN. However, this collaborative sensing mechanism provides more opportunities for malicious users (MUs) hiding in the legal users to launch spectrum sensing data falsification (SSDF) attacks. In an SSDF attack, some malicious users intentionally report incorrect local sensing results to the FC and disrupt the global decision-making process. To mitigate SSDF attacks, an Eclat algorithm based detection strategy is proposed in this paper for finding out the colluding malicious nodes. Simulation results show that the sensing performance of the scheme is better than the traditional majority based voting decision in the presence of SSDF attacks.",

author = "Fan Jin and Vijay Varadharajan and Udaya Tupakula",

year = "2017",

doi = "10.1109/Trustcom/BigDataSE/ICESS.2017.358",

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isbn = "9781509049066",

pages = "1096--1102",

booktitle = "Proceedings: the 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, the 11th IEEE International Conference on Big Data Science and Engineering, the 14th IEEE International Conference on Embedded Software and Systems",

publisher = "Institute of Electrical and Electronics Engineers",

note = "2017 IEEE Trustcom/BigDataSE/ICESS ; Conference date: 01-08-2017 Through 04-08-2017",

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Jin, F, Varadharajan, V & Tupakula, U 2017, An Eclat algorithm based energy detection for cognitive radio networks. in Proceedings: the 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, the 11th IEEE International Conference on Big Data Science and Engineering, the 14th IEEE International Conference on Embedded Software and Systems. Institute of Electrical and Electronics Engineers, United States of America, pp. 1096-1102, 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, 1/08/17. https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.358

An Eclat algorithm based energy detection for cognitive radio networks. / Jin, Fan; Varadharajan, Vijay; Tupakula, Udaya.
Proceedings: the 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, the 11th IEEE International Conference on Big Data Science and Engineering, the 14th IEEE International Conference on Embedded Software and Systems. United States of America: Institute of Electrical and Electronics Engineers, 2017. p. 1096-1102.

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

TY - GEN

T1 - An Eclat algorithm based energy detection for cognitive radio networks

AU - Jin, Fan

AU - Varadharajan, Vijay

AU - Tupakula, Udaya

PY - 2017

Y1 - 2017

N2 - Cognitive radio (CR) can improve the utilization of the spectrum by making use of licensed spectrum in an opportunistic manner. The sensing reports from all the CR nodes are sent to a Fusion Centre (FC) which aggregates these reports and takes decision about the presence of the PU, based on some decision rules. Such a collaborative sensing mechanism forms the foundation of any centralised CRN. However, this collaborative sensing mechanism provides more opportunities for malicious users (MUs) hiding in the legal users to launch spectrum sensing data falsification (SSDF) attacks. In an SSDF attack, some malicious users intentionally report incorrect local sensing results to the FC and disrupt the global decision-making process. To mitigate SSDF attacks, an Eclat algorithm based detection strategy is proposed in this paper for finding out the colluding malicious nodes. Simulation results show that the sensing performance of the scheme is better than the traditional majority based voting decision in the presence of SSDF attacks.

AB - Cognitive radio (CR) can improve the utilization of the spectrum by making use of licensed spectrum in an opportunistic manner. The sensing reports from all the CR nodes are sent to a Fusion Centre (FC) which aggregates these reports and takes decision about the presence of the PU, based on some decision rules. Such a collaborative sensing mechanism forms the foundation of any centralised CRN. However, this collaborative sensing mechanism provides more opportunities for malicious users (MUs) hiding in the legal users to launch spectrum sensing data falsification (SSDF) attacks. In an SSDF attack, some malicious users intentionally report incorrect local sensing results to the FC and disrupt the global decision-making process. To mitigate SSDF attacks, an Eclat algorithm based detection strategy is proposed in this paper for finding out the colluding malicious nodes. Simulation results show that the sensing performance of the scheme is better than the traditional majority based voting decision in the presence of SSDF attacks.

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DO - 10.1109/Trustcom/BigDataSE/ICESS.2017.358

M3 - Conference contribution

SN - 9781509049066

SN - 9781509049059

SP - 1096

EP - 1102

BT - Proceedings: the 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, the 11th IEEE International Conference on Big Data Science and Engineering, the 14th IEEE International Conference on Embedded Software and Systems

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Jin F, Varadharajan V, Tupakula U. An Eclat algorithm based energy detection for cognitive radio networks. In Proceedings: the 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, the 11th IEEE International Conference on Big Data Science and Engineering, the 14th IEEE International Conference on Embedded Software and Systems. United States of America: Institute of Electrical and Electronics Engineers. 2017. p. 1096-1102 doi: 10.1109/Trustcom/BigDataSE/ICESS.2017.358

An Eclat algorithm based energy detection for cognitive radio networks

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