A user behavior privacy protection method against csi time-frequency domain information attack

Abstract

The invention discloses a user behavior privacy protection method aimed at CSI time-frequency domain information attack. The method first detects the SNR value of user behavior privacy through a mobile phone to judge whether the current area is safe, and if it is not safe, walk through the door The data in the process is used as known data, and the location of the malicious device is calculated according to the signal attenuation model and its position is corrected in real time; finally, according to the distribution of the malicious device, the direction of the user's walking is determined, and finally the user reaches the safe area. The present invention has been verified by actual experiments, which proves that the number of steps, step length and direction estimated by the method of the present invention are relatively accurate. Compared with the positioning method of the same type using the signal attenuation model, the positioning result of this method can reach the same accuracy. By guiding the user in real time, we can prove that this method can effectively protect the user's private information, and the user's online experience will not be affected when the user is in a safe area.

Description

technical field [0001] The invention relates to the technical field of information security, in particular to a method for protecting user behavior privacy against CSI time-frequency domain information attacks. Background technique [0002] WiFi is now an important part of the Internet of Things. In recent years, WiFi has been used for indoor positioning, object tracking, gesture recognition, button detection, lip recognition, etc. However, WiFi may also leak user privacy. [0003] Most mobile phones now use graphics and digital passwords to unlock. The security field finds that this method is not safe. It is very easy to obtain channel status information through a pair of transceivers and crack the password entered by the user without the user's knowledge. , which in turn poses a great threat to user privacy, especially when using Alipay or WeChat payment, if the password is cracked and identified, it will cause serious economic and property losses. For example, the WiPas...

AI Technical Summary

Problems solved by technology

Because the WiHear system can be implemented with the current wireless signal transmitter, when the WiHear system is used in some private places, such as a wireless router in a company meeting, the content of the company meeting is likely to be obtained by an attacker. Furthermore, the attacker may obtain the company's commercial secrets. If these commercial secrets are leaked, it will cause immeasurable economic losses to the company.

The WiKey system realizes fine-grained key detection. If an attacker installs a wireless signal transmitter in the office of the company's top leaders, the information entered by the leader on the computer is likely to be obtained by the attacker.

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