基于改进Blowfish算法的网络安全隐私数据加密方法

A encryption method of network security privacy data based on improved Blowfish algorithm

网络安全隐私数据在传输、存储和处理过程中面临数据窃取、篡改、泄漏等多重风险,导致出现个人身份信息被盗用、财产损失等问题,为保证网络环境中用户的隐私安全,提出基于改进Blowfish算法的网络安全隐私数据加密方法.采用数据挖掘的方式,根据数据内容捕获网络安全隐私数据.针对文本和图像2种类型的隐私数据,通过缺失补偿、滤波降噪等步骤完成对初始数据的预处理.采用P盒和S盒改进Blowfish算法,生成网络安全隐私数据密钥和文本、图像隐私数据对应密文,完成隐私数据的加密工作.实验结果表明,使用所提方法得出加密数据需要更多的解密时间,且隐私数据披露风险降低2.0,具有较好的加密效果.

During the transmission,storage,and processing of network security privacy data,multiple risks such as data theft,tampering and leakage are encountered,resulting in issues such as personal identity information theft and property damage.To ensure the privacy security of users in the network environment,a novel encryption method based on the improved Blowfish algorithm is proposed.This approach employs data mining technique to capture network security privacy data based on data content.For two types of privacy data,text and image,the initial preprocessing steps include missing value imputation and noise reduction filtering.The enhanced P-box and S-box versions of the Blowfish algorithm are utilized to generate network security privacy data keys and corresponding ciphertexts for text and image privacy data,completing the encryption of privacy data.The experimental results show that using the proposed method to obtain encrypted data requires more decryption time,and the risk of privacy data disclosure is reduced by 2.0,which has a high encryption effectiveness.