Design of Dynamic Encryption Method for Multi-Layer Real-Time Network Data Flow
Currently,the strong fluctuation of wave frequency and noise in multi-layer real-time network data streams may lead to significant errors during the dynamic encryption of network data.In order to ensure the security of network data during transmission,this paper proposed a tiny encryption algorithm(Tiny Encryption Algorithm,TEA)for dynamic encryption of network data streams.Firstly,the set of frequent items of multi-layer real-time network data streams was constructed.Secondly,an adaptive learning algorithm was used to extract spectrum blocks and dy-namic time in different layers of network data streams.Then,the super-frequency noise coefficient was calculated,so that the noise interference suppression of frequent items in data streams was achieved by adjusting the node bandwidth beam.Next,the multi-layer network data streams were expressed in binary mathematical form and grouped.Mean-while,the plaintext of each group of data streams in each layer was calculated.Moreover,key rules were adopted to search for binary bit encryption keys corresponding to the plaintext.Furthermore,the ciphertext was continuously add-ed until all layers and groups were completed.Finally,effective encryption was achieved.Experimental results show that the proposed method has high encryption accuracy and low space occupation.In addition,the transmission delay is less than 250ms.In general,the method has excellent comprehensive performance and a certain practical value.
万方数据
维普
