使用AES和RC4的事务数据安全

Puji Sari Ramadhan, Muhammad Syahril, Rini Kustini, H. Winata, Robin Darwis Gea
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引用次数: 0

摘要

本研究讨论了使用AES(高级加密标准)和RC4(Rivest Chipper 4)作为数字数据安全算法来防止和保护交易数据免受不负责任方的攻击的有效性。之所以需要这样做,是因为销售交易或其他服务的发展已经大量使用了数字技术。这种情况导致需要保护现有交易中的数字数据,以便安全地存储交易数据。交易数据安全是通过使用AES(高级加密标准)和RC4(Rivest密码4)算法将数据更改为难以读取的密码或代码来实现的。这项研究首先收集现有的交易数据,然后将其转换为ASCII代码。转换的结果将用于使用AES算法进行计算。使用AES算法完成计算过程后,使用RC4进行计算。这些结果将存储在数据库中,以便其他方无法知道已转换为这些代码的交易数据。AES和RC4算法的结合是为了加强数据加密,因为有越来越多的轮换系统,并且执行双重安全,使得数字数据不容易被读取和滥用。通过这项研究,可以表明AES和RC4算法能够以多个安全级别加密现有的交易数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transaction Data Security Using AES and RC4
This study discusses the effectiveness of using AES (Advanced Encryption Standard) and RC4 (Rivest Chipper 4) as digital data security algorithms to prevent and protect transaction data from irresponsible parties. This needs to be done because the development of sales transactions or other services has used digital technology a lot. This situation causes the need to secure digital data from existing transactions, so that transaction data can be stored safely. Transaction data security is carried out by changing data into ciphers or codes that are difficult to read using the AES (Advanced Encryption Standard) and RC4 (Rivest Cipher 4) algorithms. This research begins by collecting existing transaction data and then transforming it into ASCII code. The results of the transformation will be used to perform calculations using the AES algorithm. After completing the calculation process using the AES algorithm, then do the calculations using RC4. These results will be stored in the database so that the transaction data that has turned into these codes cannot be known by other parties. The combination of the AES and RC4 algorithms is carried out to strengthen data encryption because there are more and more rotation systems and double security is carried out so that digital data is not easily read and misused. With the presence of this research, it can be shown that the AES and RC4 algorithms are capable of encrypting existing transaction data with multiple levels of security. 
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