The display image of the video display unit (VDU) can be reconstructed by receiving and analyzing the unexpected electromagnetic noise emanated from a personal computer system.This fact is one of the information leakage threats in information security.Therefore, in order to choose the best frequency range for receiving the electromagnetic compromising emanations form a PC display effectively and quickly, a method based on the correlation power analysis (CPA) and the common equipments is proposed.Firstly, the frequency spectrum of 10 MHz to 1 GHz is measured about 10 times respectively when the PC is displaying the white-black vertical strips image and black image.The frequency range which contains the display information can be obtained through the CPA.And then, the special image signal is searched around the dot frequency and harmonics.If the special signal disappears when displaying the total black image, it can be judged to be the real special signal.Finally, the best receiving frequency range can be chosen by comprehensive considering the results of CPA and the signal to noise ratio (SNR) of the special image signal.In order to check the validity of the chosen frequency range, eavesdropping experiments are carried out.The results demonstrate that the selected frequency range can retrieve the higher quality image than other frequency bands. The display image of the video display unit (VDU) can be reconstructed by receiving and analyzing the unexpected electromagnetic noise emanated from a personal computer system. This fact is one of the information leakage threats in information security.Therefore, in order to choose the best frequency range for receiving the electromagnetic compromising emanations form a PC display effectively and quickly, a method based on the correlation power analysis (CPA) and the common equipments is proposed. Firstly, the frequency spectrum of 10 MHz to 1 GHz is measured about 10 times respectively when the PC is displaying the white-black vertical strips image and black image. The frequency range which contains the display information can be obtained through the CPA. And then then, the special image signal is searched around the dot frequency and harmonics. If the special signal disappears when displaying the total black image, it can be judged to be the real special signal. Finally, the best receiving freq uency range can be chosen by comprehensive considering the results of CPA and the signal to noise ratio (SNR) of the special image signal. Order to check the validity of the chosen frequency range, eavesdropping experiments are carried out. The results demonstrate that the selected frequency range can retrieve the higher quality image than other frequency bands.