2020/11/30-M-关于DES浅谈


数据加密算法(Data Encryption Algorithm,DEA)是一种对称加密算法,很可能是使用最广泛的密钥系统,特别是在保护金融数据的安全中,最初开发的DEA是嵌入硬件中的。DES 使用 16 个循环,使用异或,置换,代换,移位操作四种基本运算。 类似于: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当然,这些都是base64编码。那么,什么是base64呢? Base64是网络上最常见的用于传输8Bit字节代码的编码方式之一,大家可以查看RFC2045~RFC2049,上面有MIME的详细规范。Base64编码可用于在HTTP环境下传递较长的标识信息。例如,在Java Persistence系统Hibernate中,就采用了Base64来将一个较长的唯一标识符(一般为128-bit的UUID)编码为一个字符串,用作HTTP表单和HTTP GET URL中的参数。在其他应用程序中,也常常需要把二进制数据编码为适合放在URL(包括隐藏表单域)中的形式。此时,采用Base64编码不仅比较简短,同时也具有不可读性,即所编码的数据不会被人用肉眼所直接看到。 比如,编写一个“123”,得出的结果就是“MTIz”。


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