基于矩阵张量积的轻量网络数据传输加密方法

Encryption Method of Lightweight Network Data Transmission Based on Matrix Tensor Product

针对网络数据传输过程中因攻击者窃取数据所导致的不安全问题,提出基于矩阵张量积的轻量网络数据传输加密方法。首先通过压缩感知技术对稀疏信号降维处理,为提高恢复信号的精度,采用Spark性质、非相干性质和有限等距原则对测量矩阵进行约束,并采用重构算法恢复原始信号。然后采用矩阵张量压缩感知方法对不同规模的数据进行观测,为了提高数据重构的效率,采用解凸优化问题的方法改善数据重构效果。最后通过对称加密方法对网络传输数据的数据头和数据体进行加密处理,其中数据按每组16个字节大小进行分组处理,当接收端收到1kB的数据时进行解密,完成数据的传输。实验结果表明,所提方法不仅有较好的数据恢复效果与适用性,而且数据加密传输效率较高。

Aiming at the insecurity caused by attackers stealing data in the process of network data transmission, a lightweight network data transmission encryption method based on matrix tensor product is proposed. Firstly, the dimension of sparse signal was reduced by compressed sensing technology. In order to improve the accuracy of recovered signal, spark property, incoherent property and finite isometric principle were used to constrain the measurement matrix, and the reconstruction algorithm was used to recover the original signal. Then, the matrix tensor compressed sensing method was used to observe the data of different scales. In order to improve the efficiency of data reconstruction, the convex optimization problem was solved to improve the effect of data reconstruction. Finally, the symmetric encryption method was used to encrypt the data header and data body of the network transmission data. The data were grouped according to the size of 16 bytes in each group. When the receiving end received 1KB of data, it was decrypted to complete the data transmission. The experimental results show that this method has not only good data recovery effect and applicability, but also high data encryption transmission efficiency.