基于国密算法的供应链数据混沌加密研究

Chaos encryption of Supply chain data based on state secret algorithm

为了提升供应链数据加密处理之后的密文熵与明文熵的差值,保证数据加密质量,研究基于国密算法的供应链数据混沌加密方法。根据国密算法执行标准,在TOMCAT服务器中提取关键SM2公钥文本,通过对比已加密数据、未加密数据之间的量化差值,建立非线性函数实现供应链数据提取。按照混沌向量定义表达式,确定数据量化序列的分布形式,以核心数据参量为标准,求解密文熵值,以此完成供应链数据混沌加密。实验结果表明,在国密算法作用下,供应链数据加密处理之后的密文熵与明文熵之间的差值较大,数据置乱程度较高,供应链数据加密效果更好。

In order to improve the difference between ciphertext entropy and plaintext entropy of supply chain data after encryp-tion processing and ensure the quality of data encryption,a chaotic encryption method for supply chain data based on state-secret al-gorithm is studied.According to the execution standard of state secret algorithm,the key SM2 public key text is extracted from TOM-CAT server.By comparing the quantized difference between encrypted data and unencrypted data,a nonlinear function is established to extract supply chain data.According to the definition expression of chaotic vector,the distribution form of data quantization se-quence is determined,and the entropy value of ciphertext is solved with the core data parameters as the standard,so as to complete the chaotic encryption of supply chain data.The experimental results show that the difference between the entropy of ciphertext and the entropy of plaintext after the encryption of supply chain data is large,the degree of data scrambling is high,and the encryption effect of supply chain data is better.