research-article

Trust Aware Scheme based Malicious Nodes Detection under Cooperative Spectrum Sensing for Cognitive Radio Networks

Authors:

Abhishek Kumar,

Jagdeep SinghAuthors Info & Claims

ICDCN '21: Adjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking

Pages 56 - 61

https://doi.org/10.1145/3427477.3429992

Published: 05 January 2021 Publication History

Abstract

Emerging of Cognitive Radio (CR) technology has provided an optimistic solution for the dearth of the spectrum by improving the spectrum utilization. The opportunistic use of the spectrum is enabled by spectrum sensing which is one of the key functionality of CR systems. To perform the interference-free transmission in cognitive radio networks, an important part for the unlicensed user is to identify a licensed user with the help of spectrum sensing. Recently, the Cooperative Spectrum Sensing has been widely used in the literature where various scattered unlicensed users collaborate to make the final sensing decision. This overcomes the hidden terminal problem and also improve the overall reliability of the decisions made about the presence or absence of a licensed user. Each unlicensed user sends the sensing results to the base station for the final decision. However, there exist some nodes which do not provide the correct sensing results to maximize their own profit which can highly degrade the CR network functionality. In this paper, a trust-aware model is proposed for the detection of misbehaving nodes such that their sensing reports can be filtered out from the final result. The performance evaluation of the proposed scheme is done by checking its robustness and efficiency against various possible attacks.

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Cited By

Mathur MVerma JPoonam (2024)Enhancement of Security in Opportunistic NetworksAdvanced Network Technologies and Intelligent Computing10.1007/978-3-031-64076-6_3(27-43)Online publication date: 8-Aug-2024
https://doi.org/10.1007/978-3-031-64076-6_3
Wu JChen ZLiang HChen ZZhang JGan JHe J(2023)Sequential Single Voting for Cooperative Spectrum Sensing Against Byzantine AttackProceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks10.1145/3585967.3585968(1-8)Online publication date: 6-Jan-2023
https://dl.acm.org/doi/10.1145/3585967.3585968
Ge HWu JGan JZhang BLiang HGao S(2022)Performance Analysis of Voting Rule in the Presence of SSDF Attack in Interweave Cognitive Radio Networks2022 International Conference on 6G Communications and IoT Technologies (6GIoTT)10.1109/6GIoTT57212.2022.00018(54-60)Online publication date: Oct-2022
https://doi.org/10.1109/6GIoTT57212.2022.00018
Show More Cited By

Index Terms

Trust Aware Scheme based Malicious Nodes Detection under Cooperative Spectrum Sensing for Cognitive Radio Networks
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks
2. Security and privacy

Index terms have been assigned to the content through auto-classification.

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cover image ACM Other conferences

ICDCN '21: Adjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking

January 2021

174 pages

ISBN:9781450381840

DOI:10.1145/3427477

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 05 January 2021

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ICDCN '21

ICDCN '21: International Conference on Distributed Computing and Networking 2021

January 5 - 8, 2021

Nara, Japan

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Cited By

Mathur MVerma JPoonam (2024)Enhancement of Security in Opportunistic NetworksAdvanced Network Technologies and Intelligent Computing10.1007/978-3-031-64076-6_3(27-43)Online publication date: 8-Aug-2024
https://doi.org/10.1007/978-3-031-64076-6_3
Wu JChen ZLiang HChen ZZhang JGan JHe J(2023)Sequential Single Voting for Cooperative Spectrum Sensing Against Byzantine AttackProceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks10.1145/3585967.3585968(1-8)Online publication date: 6-Jan-2023
https://dl.acm.org/doi/10.1145/3585967.3585968
Ge HWu JGan JZhang BLiang HGao S(2022)Performance Analysis of Voting Rule in the Presence of SSDF Attack in Interweave Cognitive Radio Networks2022 International Conference on 6G Communications and IoT Technologies (6GIoTT)10.1109/6GIoTT57212.2022.00018(54-60)Online publication date: Oct-2022
https://doi.org/10.1109/6GIoTT57212.2022.00018
Bennaceur JIdoudi HSaidane L(2021)Hierarchical game-based secure data collection with trust and reputation management in the cognitive radio networkComputers & Electrical Engineering10.1016/j.compeleceng.2021.10746396(107463)Online publication date: Dec-2021
https://doi.org/10.1016/j.compeleceng.2021.107463
Nigam RKumar Sharma DJain SKrishna Bhardwaj KBanyal S(2021)AI‐enabled trust‐based routing protocol for social opportunistic IoT networksTransactions on Emerging Telecommunications Technologies10.1002/ett.433035:4Online publication date: 17-Jul-2021
https://doi.org/10.1002/ett.4330

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