Cross-layer design for primary user emulation attacks detection in mobile cognitive radio networks

Trong Nghia Le, Wen Long Chin, Wei Che Kao

研究成果: Article同行評審

14 引文 斯高帕斯(Scopus)

摘要

In this letter, the channel-tap power is utilized as a radio-frequency fingerprint (RF) to completely identify primary user emulation attacks (PUEAs) over multipath Rayleigh fading channels. To accurately know identities of primary users (PUs) and PUEAs, the cross-layer intelligent learning ability of a mobile secondary user (SU) is exploited to establish detection databases by seamlessly combining the quick detection of physical (PHY) layer with the accuracy of higher layer authentication. The proposed method helps PHY layer completely detect the identities of PUs and PUEAs. For hbox{SNR}=-2 box{dB} and the false alarm probability of 0.1, the SU can detect a PUEA with the detection probability of 0.9673 under the mobile speed of 70 km/h.

原文English
文章編號7031357
頁(從 - 到)799-802
頁數4
期刊IEEE Communications Letters
19
發行號5
DOIs
出版狀態Published - 2015 五月 1

All Science Journal Classification (ASJC) codes

  • 建模與模擬
  • 電腦科學應用
  • 電氣與電子工程

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