图11，图12和图13分别表示在“随机是”,“随机否”和“随机错误”攻

Figure 11, Figure 12 and Figure 13 respectively show the changes in the detection rate with the increase of the signal-to-noise ratio under the "random yes", "random no" and "random error" attacks. We set the proportion of attackers to 50% and the attack frequency to 0.8. It can be seen that as the signal-to-noise ratio increases, the detection rate is also increasing. Because of the interference of noise in the channel, we may not be completely accurate in detecting whether the PU exists, which leads to a decrease in the detection rate. Through comparison, it is found that in an environment with a very low signal-to-noise ratio, the K-rank criterion and the WSHT algorithm cannot function well to correctly determine the state of the channel, while the algorithm we proposed still has a high detection rate.

Fig. 11, FIG. 12 and FIG. 13 show the change of detection rate with the increase of signal-to-noise ratio under "random yes", "random no" and "random error" attacks, respectively. We set the proportion of attackers to 50% and the attack frequency to 0.8. It can be seen that the detection rate is increasing with the increase of signal-to-noise ratio. Because of the interference of noise in the channel, we may not be completely accurate in detecting whether Pu exists, which leads to the decline of detection rate. Through comparison, it is found that in the environment with low signal-to-noise ratio, k-rank criterion and WSHT algorithm can not play a good role to correctly judge the state of the channel, and our algorithm still has a high detection rate.<br>

Fig. 11, fig. 12 and fig. 13 respectively show the change of detection rate with the increase of signal-to-noise ratio under the attacks of "random yes", "random no" and "random error". We set the ratio of attackers to 50% and the attack frequency to 0.8. It can be seen that with the increase of signal-to-noise ratio, the detection rate is also increasing. Because of the interference of noise in the channel, we may not be completely accurate in detecting whether PU exists, which leads to the decrease of detection rate. By comparison, it is found that K-rank criterion and WSHT algorithm can't play a good role in judging the channel state correctly in the environment with low signal-to-noise ratio, while our proposed algorithm still has a high detection rate.