• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Multiple-Phase Energy Detection and Effective Capacity Based Resource Allocation Against Primary User Emulation Attacks in Cognitive Radio Networks


Abstract

Cognitive radio (CR) is regarded as an effective approach to avoid the inefficient use of spectrum. However, CRNs have more special security problems compared with the traditional wireless communication systems due to its open and dynamic characteristics. Primary user emulation attack (PUEA) is a common method which can hinder secondary users (SUs) from accessing the spectrum by transmitting signals who has the similar characteristics of the primary users’ (PUs) signals, and then the SUs’ quality of service (QoS) cannot be guaranteed. To handle this issue, we first design a multiple-phase energy detection scheme based on the cooperation of multiple SUs to detect the PUEA more precisely. Second, a joint SUs scheduling and power allocation scheme is proposed to maximize the weighted effective capacity of multiple SUs with a constraint of the average interference to the PU. The simulation results show that the proposed method can effectively improve the effective capacity of the secondary users compared with the traditional overlay scheme which cannot be aware of the existence of PUEA. Also the good delay QoS guarantee for the secondary users is provided.


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Cite this article

[IEEE Style]
Z. Liu, G. Zhang, W. Meng, X. Ma and G. Li, "Multiple-Phase Energy Detection and Effective Capacity Based Resource Allocation Against Primary User Emulation Attacks in Cognitive Radio Networks," KSII Transactions on Internet and Information Systems, vol. 14, no. 3, pp. 1313-1336, 2020. DOI: 10.3837/tiis.2020.03.022.

[ACM Style]
Zongyi Liu, Guomei Zhang, Wei Meng, Xiaohui Ma, and Guobing Li. 2020. Multiple-Phase Energy Detection and Effective Capacity Based Resource Allocation Against Primary User Emulation Attacks in Cognitive Radio Networks. KSII Transactions on Internet and Information Systems, 14, 3, (2020), 1313-1336. DOI: 10.3837/tiis.2020.03.022.

[BibTeX Style]
@article{tiis:23401, title="Multiple-Phase Energy Detection and Effective Capacity Based Resource Allocation Against Primary User Emulation Attacks in Cognitive Radio Networks", author="Zongyi Liu and Guomei Zhang and Wei Meng and Xiaohui Ma and Guobing Li and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2020.03.022}, volume={14}, number={3}, year="2020", month={March}, pages={1313-1336}}