Self-adaptive key distribution mechanism based on QKD network

Abstract

The invention discloses a self-adaptive key distribution mechanism based on a QKD network, and the mechanism comprises three key strategies: 1, using a classic key independently; 2, independently using a quantum key; and 3, the quantum key and the classic key are used in a fusion manner, so that the condition that the requirement on the key quantity cannot be met due to low quantum key generationrate is avoided. According to the invention, a playing type video is downloaded; Audio information, assigning a candidate packet encryption algorithm for it; AES, 3DES, IDEA, SM1, SMS4, Twofish. The method is used for an RTSP streaming video. Audio information, High real-time performance needs to be guaranteed, The method comprises the following steps: aiming at RTSP streaming video/audio information; assigning a candidate encryption algorithm for it; AES, SM1, SMS4, RC4, Rabbit, ChaCha20, The method has the advantages that the requirements on real-time performance of text information such aselectronic mails and control information are low, a symmetric encryption algorithm is distributed for the application of the type mainly according to the security level required by the application, and accordingly candidate encryption algorithms such as DES, AES, SM1, SMS4 and Twofish can be designated for the application of the type;

Description

technical field [0001] The invention relates to the technical field of optical fiber quantum communication, in particular to an adaptive key distribution mechanism based on a QKD network. Background technique [0002] At present, multimedia files can be divided into discontinuous media and continuous media. Discontinuous media mainly includes text, graphics, and images, while continuous media mainly includes voice, audio, and video. In contrast, continuous media requires high real-time performance and low latency. Among them, video files need to ensure a higher transmission rate and occupy a large network bandwidth. Video and audio information have the characteristics of large data volume, strong correlation, high redundancy, and high real-time requirements. Due to the large amount of data, it is difficult to decipher The reader needs to perform a large number of decoding operations on the data, which is more difficult to decipher than text information. Video and audio can...

AI Technical Summary

Problems solved by technology

Among them, video files need to ensure a higher transmission rate and occupy a large network bandwidth. Video and audio information have the characteristics of large data volume, strong correlation, high redundancy, and high real-time requirements. Due to the large amount of data, it is difficult to decipher The reader needs to perform a large number of decoding operations on the data, which is more difficult to decipher than text information. Video and audio can be divided into download playback and RTSP (Real Time Streaming Protocol) streaming: (1) download playback is Downloading the entir

Images