2019.9.2选择更新分离版
作者:互联网
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”。
标签:编码,分离,HTTP,2019.9,DES,Base64,更新,使用,DEA 来源: https://www.cnblogs.com/lovesoul/p/11445874.html