基于AES对称加密算法的电子商务敏感数据加密存储研究  被引量:2

Research on Encryption and Storage of E-commerce Sensitive Data Based on AES Symmetric Encryption Algorithm

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作  者:马俊 MA Jun(Anhui Water Conservancy Technical College,Hefei 230000,China)

机构地区:[1]安徽水利水电职业技术学院,安徽合肥230000

出  处:《佳木斯大学学报(自然科学版)》2024年第6期45-48,共4页Journal of Jiamusi University:Natural Science Edition

摘  要:在数字化交易不断增长的背景下,确保电子商务系统中敏感财务数据的安全变得至关重要。为此,研究开展了一项关于智能敏感数据库加密设计的探究,基于高级加密标准(AES)算法提出了一种敏感数据加密方法,该算法结合自适应特征分类与向量量化编码,以适应敏感信息的存储要求。结果表明,AES在10次操作后的平均加密用时为40 ms,而DES和IDEA分别为37 ms和29 ms。解密速度方面,AES的平均时间为0.97 ms,较DES的0.76 ms和IDEA的0.54 ms更优。在系统资源消耗方面,AES在CPU使用率方面远超其他两种算法,其平均使用率为65.48%,而DES和IDEA分别为52.36%和41.75%。由此可知,采用AES加密算法来保护电子商务中的敏感信息存储更为安全可靠。这样的方法不仅提升了系统的安全性质,还有效降低了网络威胁的风险,同时增强了对电子商务敏感数据的保护。In the context of growing digital transactions,securing sensitive financial data in e-commerce systems has become critical.To this end,this paper carries out a research on the encryption design of intelligent sensitive database,and proposes a sensitive data encryption method based on Advanced Encryption Standard(AES)algorithm,which combines adaptive feature classification and vector quantization coding to adapt to the storage requirements of sensitive information.The results show that the average encryption time of AES after 10 operations is 40ms,while DES and IDEA are 37ms and 29ms,respectively.In terms of decryption speed,the average time of AES is 0.97ms,which is better than the 0.76ms of DES and 0.54ms of IDEA.In terms of system resource consumption,AES far outperformed the other two algorithms in terms of CPU usage,with an average usage of 65.48%,while DES and IDEA were 52.36%and 41.75%,respectively.It can be seen that using AES encryption algorithm to protect sensitive information storage in e-commerce is more secure and reliable.This approach not only improves the security nature of the system,but also effectively reduces the risk of cyber threats,while enhancing the protection of sensitive e-commerce data.

关 键 词:AES加密算法 敏感数据 加密存储 电子商务信息系统 

分 类 号:TP309[自动化与计算机技术—计算机系统结构]

 

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