2020-4-4M 关于数据加密

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/12631917.html