High-security orthogonal decomposition chaotic scrambling method based on position information

Abstract

The invention provides a high-security orthogonal decomposition chaotic scrambling method based on position information. Both a sending end and a receiving end know the position information of a legal user; an initial value of a chaotic sequence for displacement is decided according to the position information of the legal user; and a selection mode of the initial value is random and discordant, so an eavesdropper is difficult to recover obtained interception information. According to the orthogonal chaotic scrambling scheme based on the position information provided by the invention, the sending end does not need to know the position information of the eavesdropper, cipher transmission does not need to be carried out through a special control channel, and a channel gain matrix of the eavesdropper does not need to be different from the channel gain matrix of the legal user. According to the method, the reliability, security and practicability of a visible light communication system can be improved.

Description

technical field [0001] The invention relates to the field of MIMO visible light communication systems, and more particularly, to a high-security orthogonal decomposition chaotic scrambling method based on position information. Background technique [0002] In traditional wireless communications, physical layer security is achieved by exploiting the unique characteristics of transmitted information. These features, such as channel state information of legitimate users, are set as the key, and if there is no key, artificial noise, beamforming or coefficient weighting can be performed through cooperative interference technology. These techniques have also been gradually researched and applied to visible light systems. In the existing solutions for improving the communication security of MIMO-based visible light systems, the simultaneous use of zero-forcing beamforming and artificial noise can force the eavesdropper's signal-to-noise ratio to be zero, and these noises do not pr...

AI Technical Summary

Problems solved by technology

Among them, the scrambling matrix scheme uses a random number matrix to scramble and send information, but this scheme is not easy to implement in practice, and it is difficult for the sending end to agree on this matrix with the legitimate user; the confidential communication area scheme is based on the characteristics of indoor visible light communication. The inverse matrix of the channel condition matrix is ​​set as a scrambling matrix, but the disadvantage is that once the eavesdropper is close to the position of the authorized user, that is, when the channel condition of the legitimate user is similar, this encryption method can be easily obtained by the eavesdropper

In the secret channel scheme, the channel condition of a certain point in the communication area where the legitimate user is located is set as a scrambling matrix. At this time, when the eavesdropper is close to the position of the legitimate user, the possibility of obtaining the secret scheme is reduced, but in actual operation, it is necessary to realize It is still difficult for legitimate users to know this matrix in advance

[0004] To sum up, in the existing solutions for improving communication security based on MIMO visible light systems, the zero-forcing beamforming technology does not have any impact on the data reception of legitimate users, but requires the sender to know the exact location of the eavesdropper. However, the scrambling matrix scheme does not need to predict the location of the eavesdropper or the channel state, but the existing schemes for generating scrambling matrices still have the following difficulties in practical applications: the randomness of the matrix in the random scrambling scheme It is inconvenient for legitimate users to obtain the matrix, and the scrambling scheme based on the channel gain matrix at a certain point cannot maintain communication security when the eavesdropper is close to the legitimate user

Images