针对阈值判决法误报率高、难以有效区分窃听入侵与其他人为扰动的缺点，分析了用小波包能量分析方法提取的不同扰动条件下干涉信号的特征向量，在此基础上提出了一种可行的窃听入侵检测方法。该判决方法可以有效地对光缆线路上发生的窃听入侵和其他人为扰动进行检测和区分。

In view of the disadvantages of the threshold decision method in high false alarm rate and difficulty in distinguishing eavesdropping and intrusion from other artificial disturbances, this paper presents a feasible eavesdropping detection method on the basis of analyzing the eigenvector of interfering signals under different disturbances extracted by means of wavelet packet energy analysis. This method can effectively detect and distinguish eavesdropping from other artificial disturbances occurring in optical cable lines.