Broadband weighted cooperative spectrum sensing algorithm for resisting intelligent SSDF attack

A collaborative spectrum sensing and broadband technology for cognitive radio applications

Active Publication Date: 2020-05-22
NANJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

With the development of smart devices, MU's SSDF attack presents a trend of intelligence, but the above-mentioned literature fails to discuss the defense algorithm against intelligent SSD

Method used

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  • Broadband weighted cooperative spectrum sensing algorithm for resisting intelligent SSDF attack
  • Broadband weighted cooperative spectrum sensing algorithm for resisting intelligent SSDF attack
  • Broadband weighted cooperative spectrum sensing algorithm for resisting intelligent SSDF attack

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Experimental program
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Embodiment Construction

[0027] 1 system model

[0028] The present invention considers a broadband cooperative spectrum sensing scenario in a cognitive radio network, where J primary users PU and R secondary users SU (including normal cognitive users and MUs) are randomly distributed in the monitoring area of ​​the network, as figure 1 shown.

[0029] Assuming that the total bandwidth of the network is W Hz, the frequency band is divided into Q non-overlapping sub-channels, and the bandwidth of each sub-channel is U=W / QHz. J primary users are authorized to occupy J sub-channels, and the remaining Q-J sub-channels The channel is in an idle state, so the natural sparsity of broadband spectrum usage allows SU to use spectrum holes to transmit data and improve the communication capability of the entire network.

[0030] 1.1 Wideband Spectrum Sensing Algorithm Based on Compressed Sensing

[0031] The traditional binary hypothesis testing model of wideband spectrum sensing is:

[0032]

[0033] Where...

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Abstract

A broadband weighted cooperative spectrum sensing algorithm for resisting intelligent SSDF attacks comprises: firstly, recognizing malicious users by analyzing the characteristics of the intelligent attacks of the malicious users and combining energy preprocessing and principal component analysis; secondly, the center node establishing a reputation model according to the historical and current spectrum judgment results of each neighbor node in the sliding time window, and updating the reputation value of the reputation model in real time; and finally, performing group sparse joint reconstruction based on a prior condition by utilizing the identified observation vector set, and accurately obtaining the spectrum occupation condition of each sub-channel. Simulation results show that comparedwith a traditional R-WCCSS algorithm, the spectrum detection probability of the algorithm under the intelligent SSDF attack is improved by 16.7%, the cooperative spectrum sensing performance of the cognitive network is remarkably improved, and efficient spectrum sharing is achieved.

Description

technical field [0001] The technical solution belongs to the field of cognitive radio technology, and is specifically a broadband weighted cooperative spectrum sensing algorithm for resisting intelligent SSDF attacks. Background technique [0002] Cognitive Radio (CR) technology uses dynamic access to realize the secondary use of idle spectrum by Secondary User (SU), which can effectively solve the problems of increasing scarcity of spectrum resources and low utilization efficiency. Spectrum sensing is a key technology of cognitive radio, because it is the premise and basis for channel access and spectrum sharing [1] . The simple and easy energy detection method is the most commonly used method for narrowband spectrum sensing, but the wideband spectrum is often as high as several GHz, and it is difficult for SU to realize primary user (Primary User, PU) signal sampling and energy detection under high-speed Nyquist sampling rate , so wideband spectrum sensing is facing huge...

Claims

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Application Information

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IPC IPC(8): H04B17/382H04L29/06
CPCH04L63/1441H04B17/382
Inventor 王天荆王敏高志宇白光伟沈航
Owner NANJING UNIV OF TECH
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