2019.10.28完整权限版

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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转载自www.cnblogs.com/lovesoul/p/11750152.html