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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。通常,自动取款机(Automated Teller Machine,ATM)都使用DEA。它出自IBM的研究工作,IBM也曾对它拥有几年的专利权,但是在1983年已到期后,处于公有范围中,允许在特定条件下可以免除专利使用费而使用。1977年被美国政府正式采纳。 DES的原始思想可以参照二战德国的恩格玛机,其基本思想大致相同。传统的密码加密都是由古代的循环移位思想而来,恩格玛机在这个基础之上进行了扩散模糊。但是本质原理都是一样的。现代DES在二进制级别做着同样的事:替代模糊,增加分析的难度。 DES的加密原理,是使用一个 56 位的密钥以及附加的 8 位奇偶校验位,产生最大 64 位的分组大小。这是一个迭代的分组密码,使用称为 Feistel 的技术,其中将加密的文本块分成两半。使用子密钥对其中一半应用循环功能,然后将输出与另一半进行“异或”运算;接着交换这两半,这一过程会继续下去,但最后一个循环不交换。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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