Broadband weighted cooperative spectrum sensing algorithm for resisting intelligent SSDF attack

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...

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 SSDF attack, so the establishment of a corresponding reputation model based on the new SSDF attack method is the basis for collaborative spectrum fusion judgment one of the important issues

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