与一般的区块链相比,高稳定性区块链中的节点存储数据更容易受到防篡改威胁,为了保证数据的安全性,进行了高稳定性区块链节点存储数据防篡改仿真研究。通过滑动窗口分段将区块链节点存储的数据分割成多个子序列,通过判断子序列的变化趋势给出特征函数,利用字符串的方式表示区块链节点存储数据的时间序列组成,基于变步长计算,通过匹配测度的计算提取出区块链节点存储数据的关键特征。通过用户信息的加密生成用户密钥,得到区块链节点存储数据的密文,完成数据加密。引入水印防篡改算法,分割嵌入数据中的水印信息,通过水印信息与二进制信息之间的转换,结合矩阵置乱实现区块链节点存储数据防篡改。实验结果表明,本文方法能够有效防止区块链节点存储的数据被篡改,保证数据的隐蔽性和安全性。

Compared with the general blockchain,the data stored by the nodes in the high-stability blockchain are more vulnerable to the tamper-proof threat.In order to ensure the security of the data,a simulation study on the tamper-proof of the data stored by the nodes in the high-stability blockchain is proposed.By sliding window segmentation,the data stored by blockchain nodes are divided into multiple sub-sequences.By judging the changing trend of sub-sequences,the characteristic function is given,and the time series composition of the data stored by blockchain nodes is expressed by string.Based on the calculation of variable step size and the calculation of matching measure,the key characteristics of the data stored by blockchain nodes are extracted.Through the encryption of user information,the user's key is generated,and the ciphertext of the data stored by the blockchain node is obtained,thus completing the data encryption.The watermark tamper-proof algorithm is introduced to divide the watermark information embedded in the data.Through the conversion between watermark information and binary information,combined with the scrambling of the matrix,the tamper-proof of the data stored by blockchain nodes is realized.The experiment results show that the method in this paper can effectively prevent the data stored by blockchain nodes from being tampered with,and improve the concealment and security of data.