2020-4-4-A 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:A1ez8zw/wJ6QNPeMblfS+S1KJJ7l92/lraZM+Ee+NCMUkE7V2/pq0lCoqSrQ4+U8OX5dUd/7SGf+SQcOUynD9w4G/Kj1cgznPBsRS7pHTPdFH48DWIkxFv8kIld9lDgAENmBoWPVenI/V0n5ARptj82cgrstYXkYKqJt6X9nZ4MpZ1nh+0Ad3ejMuzgT5g+MV3YShtV99ibtQ8ixnOePkfKE+Yj1UXHYk//Yue0Ul32jXQ91Uqr7RS2MIU05Jav6rYs8RHdUeM/sFq9HsmjfH5ZBUzAnH9dJFNQHsJd0y7WZzRk6ddQqkduArREwQNR8fPhb5JUHYSH/A04zy+sIYr0JW4Fe/XN+o90F6WmRE/+dwtZPXzBJcrXsm0D6fK5F6zOEsl0i7yUE1fm68QP+j15nRTv31Dq5QpzsS3rAw7NsnBw4NKrz2d9xdRSVRm4chZCXPnRAHCIyuGfQzAIhfDmqVjNSNDuXpAGZkHIDmMHGOj4kDTsXtIjjOmL+vGd3h6yMystVfp9Cre9bNpmJ2oqPjctPS+Pxo6OpWabHzE6xj/m4Ard2HxeybVHPBx4SDW1vynBag3tqlxp1cvqM2sP2StsZFEItHy2voGmz7I661VlhGEHkCxy9Dg5dQ285eZTP/OwrD6kuv/FmeS2JjaZammr4UxjAL4fOxvbcF5xpEIV95xBB+KfIM2dafwntvDRNke5zUMEYc9s2GR3qRidZmbr8zJK6N7ZgWr/jn8rPFpdkKX8VK5XLFOELbh/OPZ0xVQ98jvQMqtwbJUesw/7hTfVsuU5s6waXsMY4TIzKXXxFg3fbcAHVNKrZwuaf8W5hiKFXNLmQyW+1LYxss6eDtGYHA1PxSEKAEA/dv+pFLS2S02hwMKOXSN9aZXW9Grp+p5HemhSYUpxbE5V3yQ92zR4KemXfsaFmM8vfYzCiJMfY0iKE8uBj8xs/i0D0N5G7Mht3q0hCFbDKd9vJvElqLF/8JpEPcRCnNMzIwqJr+lZ/TBzES8XYIcYiX67vlnX/3RZael7sF9lkf6Xh21skrxSd7Gu1Rlkbz/wv1c/x7DBCFYOkfV9l7JeVyW17SNH7pJm1QTc95isinnOxnQ/lz+hJINOf5Am+pO7sAV2HdopTfyLUzbiPg/C+mm569xo3QkfXmNmdrOvx+o3/Nk2YPW+tjkcbEqE/VngaqSJL6VxhiRgC8HgYKTpNVNrDM2dbtf5ZRdNX0ESMyb/YmBQDUOkQffExwgyP+NaSm0dRYZW8jaTh7SGggL/8iVof4ImLAb3U1cMlnSxCzDI5OCIcuvAwfrSFuxWmlebp/op98RkO8oQomjxhJarUzma/SRcuQfH+pP0qO4kzR6yE2RJwlPY+BtXpvOJxYuR+x1/A2XZGF21Xt9BUCr0zLnc7U3lkUdKWEogGGsPM9KJBmTbzJTasSkLzOCiCOMcnxEO48LssrQM7yZXhFOMYR5sIDGwEICBQoR7PpKW1Iq5Et3052yFXJgZcFOrV/Lt7aE1dv7E1EkC/gXyeqHjFrRhKAkpXSlPm5llgqO61mKOhwdCu+78RG0//664Fx37NI2wm8JfAfqcLgCaxUiYo5l+OWdQ5Ot7UxdxV6CabDEYoIMznDnCrwqlZ3FNES0ByCmWpJ+4acbq20J0kWMnu/WuJceYO02NyJFzCQJJOBKHE7gYMhyki5NRs/Ktf+32/kCYYNs1fTT710CBsnwVEBcMHQbmzg6nN6Aud+z3yEc1Ky+NALxYTgu7tTjpudiNzMeZ5U4FX53HiS6hE2EKdVt2XGEAuyszJuiQ4zl99zveOVeUP9qU9wcFQUHenQimfmHAFEakGwgvxRuMZfmbzM6jHb3D0y7EskFiPyVzdDZlMdXAZQf4UDg75fK3KOxKOySgUAKvir3rL2S77CInFbqUZ/jybbd0XXzfsgh7IES0xQe+ibYuDMeuzE8bJ5vjQUJNjq1hrTi7diJ2Urtjc9Y32lAUGCRHnvqKLOd7UC9MJTgMTl98sMDA5FBrv78r58WRbNh1GdL93E6s/huZh/Ul9qrW2Cj5bi0xLaUIo/bhFwDFkVRcKqB4+Z6eTpSv7OGze0aizgWU39qiuDnBfUK68dbgX8Lhb9a6jZpBb92Fo7fuvuJxZNKBokgUvSA2LkgfCkcxFmJIh4fjMCtPdbPPAhWTntMZkfxPqhvoRnzDQRjznoh1OPVq9+LLSnlzQ8aakmpb/Wigl37JXCaYuAnBJh0cKoADEMZnV6LnnCdKP847BUqyjVWpjlqCNkAG+fSZpEJYdHqdePoINT1xNnzjZgTQI+zG15xVQr68tL8IBmSnXwYb770CLqJ29jDbjlB+J2f5oH9TxtFVq95PH1K054P9stn3RawYvymuqGj4RFRO3MG4HA/RpFTHUZ19khUhcZiYtpL32QG3aDQ+Mbaqsng85qymOr0Oz6qh2YUNupKR9tVY6WdNp6hBYcVFT2GSMzD4p2dvuwL1EC9ypAux/G5+WSvFfmU1n47Q8BcLTU43nf6F93VhhbtycRznTSxLgWmaruCCKNrvKSvPNpyZLDFR2I3TyOMJwJJUfSPUzmSno9RDkZIx+MdAs3zIovo9sU4KlqBlilasc/BUuDIkxYsu2gFz4m+J6Z14o5BxWsG6wZ5OVMz1Nht5+uFIY2/3viPSOt87Q2G9D6gRXJRDvxCWA8VaOjf2yvnjHuawsWe5tg1+7GU6hxDgnDyK4Vtn4IYI8vKowv0dGXTXQikDfeSRNsx+ZEjo4Iz01oQOJvPLvl4k9k4m4mkwRCa7GUhd5fPdj0rAoYeqBUQabn3MBQogWsFTgDI7iSn/Ys3B/bq3A4defXHIMvv4IRLns+0J1J/WuZvYPKZJC5mCBKl9g3gmK4xqoOYu/vnSQecJNM19UDUhmdKcOFfbErhsqzXj5S2GQ2kFRNnYzHsPe0rYjyhWaabyupy99CwSSendqz3DdtXup3tEzmm98uFQWkDkQSsVV7Jq/lNgVU/YPS+c9PnVOx+nxo8VFNn9jTmxJ14le1cWjaX38fwILE/D91kqa0twLPfRMZQ/kVojlHMNASFJRbTWKJzC0TM3UsnKpHS8qis0i3fJVo6Y2GGacbBgHYxJVrD4a99gHe0jLqVtKfw5bYWqVi7UQU+tc3pHE5DTzlSqs08IaeyrF0jN6q9C2n9E5oSU+V5TzpBZCaUeBbEQr9urqLpkMeMUxJnFixAEspjrA/H56do7cO3Szqv5m4Ra/LPBNK21UEVrJolXwJD7bVhDgvBJbRBIzQ18RFONRe3nf8BeQ3EX1EyMeMrVQQAVg3NLNZgBm0/7TS+JGBkiAb3fgJNn8feVivymAdt0PeZKqJeYo/BxLo964Ck0IPTRFL8OsXV1iVVvyE02835754rW47gx+V2RlMgKtO0KikGZvPFzDjoltbQMI/4/mxJTtNodL2qtAl4tWdecPdTxPSQ4t+rPyF1K1wjedgefekzqH621waP+s3ma2AXqVLQvs/jahI9BrutnrUj7YTRSX45FzISvA6atcfBd3TLwBWRg0KJ1vtpZ71zbKV614bA3Q11Ifv3IxQucMcegnX631sdzEnTwDMVNN7pcavNxb3pJV32DmYF5i9wNFhRQI5lO6g4jrYQJnr44bLgpbielmTK8B/JfvgRGPWLbEdOmBywOZjiiQwezjWe1R1iTpRd2uGpRP4PxLiSybr3xxnjIJpXTqmGAfHL6Tyb+EDIc8Ghp1KWmz4j6OVp3CHxHYN327ZlQWrdcCSzJOzSadFdcPpd679nTMSe+KibX2xvz3o/Sfm24rR8upBJ+TuJ9snhpbzwlPVrcAzk+W5vV28FAnqlmqN8uqYBtTQlycGlTrGQtDH57R2W4y//1OGDOlXXwTEZ7j3Bm+2lq+dm+FK8CVxZakv4+CzxiYy+3HvVizjGXki7VBcbshaa/AqtpY8BfoD239ixle6p8299vPqmD4L32y1ttOpTTBBCZ3VHBJ5a6vhG+ogbkZZO3paylVreukDwQZJHeeo6dTYjiMQwznRZWzvFbPUvkmDnPMk+JYJ1ZrQWdrj2U0Uo0gN29N66/IzNQ+LxYQyoZ73nLzoZSqEtkJxsHCJJ62gbHmHqryOobBAvwQpNzZJ0vERQo5yiyCJPj4yzRzUE0SxmtgXqEG8wCJaXMH77kO20MmYDbMLaqaIUJGR4wbL28nSpEnJH9UOszOH9KUR8yUrnkffBpM7HjXMqVmk6iuBLH9NzTtbJ6vQqRWFx7tWr7AcaBSBUH0H4k351BDdPovnXfT2MHDXxwycLVKp/qbJM4Zddpf1fFKtiZJHxO2/t7ce3Mq86WRiCGhSQvBgfw4b2PFTgLjRmSg7IdTv2bdFhmRKotW3iKkFW4u2HQaDIFAy2VmI6iqZJ4M1VK0C8syvcXpESAAmGjqjwWufkD0IfPNtb/mqv0NPOg+PlFZt3INejrId5sBDwOOZRAGhUaihFPZBTQIQwBf8uFSCVL1cnqPp8LThm5jBn6+5JKpJdm9ARRiA/4juFDOARsDUOFw+T/QDPDcnUGZSIMUIsFCWRDInjHgAnGkyuzWU5fUhAJQYS0l7rx3TDCZAbeUtpUVcGhlvhf4DuD6UQEDG0j8vUUVAjP8JyCPv3x7OFChtgWRVSnGIF/glFPt4xFXZ+Tqta/HusXVZ9sRB158MYBwN8EVnrgqaL6sQyDvJO7sXwnAZAWU57Hx7pWZSrz6SArMu7Zfddeh07Jt9lyPYjp9LNYWFJ9t5Ihgh5Ij0Kmoe/8RqY7xTc+0FmBN52LwEIsDyvO+HLMu/iYz9dqKIUZPLuSrMoyKSUPAPYRFRP7i47Ww+W85M2ba5JVAZQGubVkQ8XFZGNr7KWaAbzkrpwfsqPhQG0GrCR8Ju3Ovh0tUz8Qyw+vBs/jgpKNwxG6Tx6H/p2aIRca6gcttePKaI/TQnU31mJEBj98Mqtuoru5N5yvnWL+CjmBDIEA5VMHT5BXuN7eVJl0OHfec8lzkyVnOXvkH3OrYDi1PvNfYp/4x8l90BL0H+iATaqcBnswc4vjwyoN7IlM9mu+bYzOsLFmp/rlQqoL/CKWk9gD6XS2MVf1yA4c+gYFfxf6jdG/jk+RYFJP8oaiyraSxOHIO7R+HTtBOmDxwkzVXi1H8lQQK9yvjcohwtMC4Ck4V+KTeGBB6Rh5uFLYKUDUDzgvzSWlP1/7y/pAaqb7bICH1qQEewEDJ0ZAXrTMnetvmAk7N8y+nD3HCTu+Fyfkemi2eP5wH2thle6MjLKKmaxA690vt8PuMTw6Iw8eUeWWfVBuqptuLfgVw/bOjpRHre/iGEomxK051w60BPQ9kYIv7YbRmqsSosN7aaBe3JlHGIW8U+MbvLa4mWZoN04NfbtW2UehjQw/E0nrQh8f51TpFF0APzCHFBTublZWDMOJBi3l4eI8jfsGTqo0DYmK/YZPp/s0e1oFu5KY8Lpffsw17JZFpV6bur7o7fNYqz9HggIbBLu4CeKEnSwq/fJelAr1ttUQabP35a1Ho9QMD0KrOa++1o/7juifyU1wNPWvmiXPU7ZFMzRNz8rLr61L1Al2nwovJwE2RwVsTyE7tq6Oq1Q6m47sdFG+nCZoskO2/CBgnSV4dmjt48MshEqG1AhUzvk0coSbF6N2hxUsna71J99Qy4izADaSUyvIeud4KN8/sC8E1oVuAOF69MmubDXLL+AdxJ2FkBlhOM9ft9KbVE3kXtodpNVgpZHXblXo0SCJjg4Bto10sPYaAjGhpQ8YeoAy2NIaWfjDc9JZZBUPYFMWD7+B08oKd6pbLw7th9TmUrhdb2l3x9uNWkIolxlKNq/CUneav4XiP4/sOrmZB/xi6GU/unEitlF1MxCzKvZDXff8Vr6mOAd/wnQq8uwW0tj793pJoKAiWJrEji4kAZ17d/pvwTwBez7xdCixLJImKKk9NlqBtirzdhGSFi84Pm8fsin7PBtaelVdJ/TeL8uCSrGYEH8/5WiIjseBTfGKJS7VkIUCr/UtVWcK8g8eWHGkC9pm4tP63uKrERGD9WV3EvGc0Ov3YRq/ZM0zQAsmo1wxcBmPGDXEBhhaF95FVSJU3EIqekMmDXImL/xyb4ZdTSV78T7TIViNbIyz1iTy88B8XfcEhnpimXZ8lA+QIJdLPVMVKHpZm91S+/+Wpy20TVbD+7oQrX3QppwLLOkzhA0MGbHc0hYeETKddeFU0SHgcMWSo6PWkHI11sQ+2qluCcp1yOBJQhNeC5dS6lBO0DkVb3N58Y1YwZQdc1rFlrLIZGDsskhl2gHokJ7hIpaTGT7/w64o3kNkBtKrjy8Vst5xxNeRgvCn+Am9HGNO7L4RGYSZGz+141FQnYdotX0AEbHAOZREBkTcZGcx2P37M3Xf1mZuNOWtzWZMu/5nDJFlr0wMTuoVaEnHQ6zMTcnuAMvxHEjHcxu+4SHZld+6GzMM638SRfaQZeCyGgAfz9oGTUXD9gQ80YmMhZXBUe0KGnEHqwr8XxZrIMWlHxDPl0hRNtQ0D8yeg9DmqxYh66V+NNIi1Bqk/VvMqcowUn0ujflOG65VhyrBLUQVCkKPT+opEm1Fs4/DfKNXqu7EJMNhE55RzOOmVioGeGVnXPeEe9TPK++eLsZxRXGsVMaWqafykF+V/dNryi5jXQTCZYxN4EIJo9rMP8VVVj603dTcGlNNf9L96+CyjSFDZVDh/ub1i+8j7RRZ/O7KVN9RiPgmuni+Wo6s2Dx1fz00LdgU4IgsFabu8+VN5kHsy7FKlorjbJ1yN7ZnyvVQLOn4ppVA3F+FtNtdGJPuohl8DfPTveynEDjvvIleSDngc9DScIJjdtYcReNrj3HIZP+ok8YGNV++imdoFZMf7yCZsO9t5OoUhbwBpW7/jHIHWmki1KxVBEdNVjO3Lu2B8ghMcZHG2QXMnEyv5UHvIFhwrofgIR6vgekMAjHuva/DRlDIgGnGS20kt7Ln/4jEqYhXLeFMwzKG/tp9tunbNly27909938IWU+27DnBHEK2IOhLOB8JGZItKqdejIBLlrOvb/f50Ry3CXdwG9u0Kr30WzZKK6BTOvnZN5b5qrXxzSg8pS1Hmu+17XP9/1rAYUJe+HjoZ2QiMM/5SqBYw/RoQjYHhmvi7VANkMwq826KelbcrrqCVGoYHeRguPoYJex8J0R4IfeOc5FxppQTlzSBl1Zbx0ok8RF+FT9UbAaplE8dMtN5pewkUgGvogjHjDQWeq8yIGXuoGQmF4wR94eqfeC0HZcnYz+qcaKD2QKHVe6W6zXKoaaUrnIBWMkB9GyeXub4JCTBCcLgky4xlStZLltNbQnKim36URgi2JDLRtWf3TI6HsCicB8frc5SnF2X6HESpzZeM+Tx/si3yHO3ik0QreM+st6T5xME8ShKONYtjzbY7LCRFnIFGNXbO6unQdjO9S+0qfWFNk9m88PeehV8o0CQw96O7bwk487TWV7Vb6X3ILS9JS2tiKT4quUfMEnZc3CLUOxQ0B0ei6Ph7LNz1ojfYguHjNw44VUK9LnrDH/N9GAhJV6XC90ZTHBVIzJJbo/bFd9EzviLGkha7EkjR/Yxhfrmu8o1fvA71YN6PMiAKSPXIlyVZ4AC51gm+TN4HPllLGMey2zrrHCqGiOpilemdlnZ2cyo5WqPKkkbNmLmN5d0gIq9mdWYLRXnqo8NK8Pt2ZlwG+CaqQua6rjCjThMZ1cyqz2yuOf8TKcrBXYPgEDQqyRqrsYDijIwbPR+U8E8Gk2GJWQJoWE69tczpdtPfYO3BUB/fTLRSLoMVQNW2nnTWRKRZxzeE1+v5rRTHVtxzQcWKZ/mFrAgQWJYjw34ngcBqfXOq/14b5dPJBPN63UFXhWSqZr6mOe6CUY7WJ6yKxddbDcf5gdQoT9oDPres3UoMiI4Xmmxt7ztdUyOLq4ZVXmJm2HdtWNu6/nK4eeKcabfsbTD/URT//MQ9pmvFN1h2YXZJpbnxenSi9XtAvHagvw7Hwsv/jXFu7FACKrTwaT0YPsn1haTQSzN4kN1/23K1Koy4VIERf+YYfUAmFmmSjwRCQfhfIIyHikc5zMRsXY1E7LP4ztQZF+BC/1Nap6ZJbrxshxjCMNy1YurUx8XReKH3XbIUbCtMYxnWljIJukCo2ZEP9rQkSgPGiVHthT3a+1cQM2PrLnWb6qKRfRmaRT2u8KOavbBw2gsx5No2O0dZ9qxo56nrfg049KBso2QAPY19vTbdg2NN+MVZjTNh+tAQjcOh58GOKjEacNrsd+OSO0jroTUva3Og24NqVVvddpYIQyu4ORZwkBtLajK9AfvglBQy0hJwyc4v+3lmqbCjLym05VV0q8iMfna68qKhgWrOfPsN8RgR6YB/XXAdYmjBqx3CWO14UXMsicDQJez7SMuMLZT+BmdyERsujqEy8gyqAb4Vpj20cpTzSoHaoh2MSR6R0d1GgoqWOrJwsdxvSkgcSTgKV/j/wl66cpxFZqUxObNNqsZlAn6+cajewkTfPR/AwiFU0lSd00pU5TWAYgWubUGoZ6hiSWw0mbD4EAYEdXjjlc7AHR4chyoppy39H1WHelywnuqROO/ZOcog3pyRA1eK+7hHtIdFshD1z3JEjoPEN13yw03wMKaV4WjPTavd8jNR+6Ui5OF/RFpX8CP2iyaP6IP7MabuG4N6+7lQtwbWGarENXLB+S4LWa6MErtjh5ktUkWVkh/0V5FUtBjlBbcsl+uCZY3wGpEeqj6Vbe0UZ77EmvI6A+p7lrNsNx5cl/72AHbah8gDK3D40C8kfidbgr/6+ceUH5dq3/cQCjFCrn+2sqFc9EX95hDGc/+TugbkbchpXOxt1goyuS2t0Pvp3Ndzqah7bS1dtylqkhNJ+X2Crs3HgZRWhlYCTczOMjqXZ8XcXTWFLsW7tKOBhKHMukbVFbhy5IIgDTAmDr1BqXKbwD9WoM7R/26xB8ydMks7U/VzgLUNyoCW/uxF9+v3Mypj2IvyW7NvMSPHC3BK00sb3n76lU+D68rkJsKHHm10vijA+IS93CaJogFG40Diun0N0Cqu1pAAfCJeuWhJNIbLdf/BL/7lyoDVRF2YXzUwtMPJTBR1g2P5U5x8pe0PlPq0HO8MnE/jw41CUpa8JW+xpOkE3h2GpD05SX1FvC+TeHTgRkJXGTb7Pd5Rtos141rw08xtzs4FxVE19LNGgX28uDfwdAyyf4Psn+yDYnvWHiuKqq7BkiP+FUd0Ga/qfApb2502fVI5ALcQNGVf0f5ZpZdCfjbqRi+HB0qJloe1LEfFIHLpSQJ5zWCxA3AQhTQIbqoczWYLoZkHNaasd2GzJJQNNMuoKL+jrVVDkUQQkCk5cM97A8qYFN+zXJCPjZhnaSTYeIj1AwOkY6LIUsrCn2tB1hCuPLO18wHRdj4vwp/QhCJICArs5xx+LwrzwTsAfXCUm6Ln8aqSq9QwOGP62zWFh5T4sYMAxjxzPFHggVp5Tf2E6v2dErFrR5tKUfle0Rxk+DgFObyIhW2Jn0rksQHqccXkHX58zbEbwvDTvEe8kGIqK7kMhJ88PVhYwtNpaKZfEDlemr32uyU73zHQS2pZDv8Qcown8LA1X4CZD/EI6k0Gk2QfequQB4qYmXJookMItkkZvfRDUPWF/aVAbReU3R9SmWC9vH9uFUwe/V/BG263lB5CCTCWqpkSG8C+Rdd9v+wKulnQpjUjRBNNwTZDAr1n//mNMWQLijcVmwK8bMcwZ+yy2XffYkWpmF0/DOJfpBYz3mQ78XYGQ5AsXLUi53gkY/C+s0QUKHoBZ9S+o+JkVtDzAZ2QqOE8WS5/dygNkYGQnNm5g4PjuIYxlRBsqJBw4uyiCfP6ncj5c8GYZ5mgL5r95OTIfPadWJii3hswpF0TRtYlMXGz4/2p15naDFEC1KiwG8NVhC0S2wqELD0iAr1LbIr1ilifgTCPL3MB26abA9CKeVLJCSJHzSkwatmOQKRKUB8xBBmSgLXwfsr02RKqB5ib4iqCO4tA3nQiykJK6mRQK2ysX1H5cz0sm/h/JQSk43ldAEZqxor77Qpq0v7F9vbLp4on+dc6Rezlc/SNraCzB4kUunkP41tYtSOu8VgmfKLniZFo5h7Daq+iZNsI/sl5SeXWtp5WrACIANak0Dl43cPyYpglNLQzHm3kvcMiaL5Xxmi5W9fEPLoge7rHSIbB8F1EdAdlfQ2SpuxStgw8FhtwXlqVTv95I3ph0Xtbk9pxd8UnK1JqlpT+t1WimJ6id5QlX4RuIpXjrAWEDTBaKWg+fR+9bOOt4y1qrP0Fl3GV2AaIPufF6Y39R7+lm+GVZH4woTkh7b5VcEW/WgAFl1PlkLjDf+rhegCVhAdVPIu+Fqvl/sqiLDu+R33mb4bPMfi8pjrDk/WQkG3xfS7npd/QfB30s0qXN6vsYU1vdZUkevvubZc8xQ0/6yo3aTiXYM/HjRHuv0y/aD2bhlxEMn6e6mbHmVK1B65DAbpP1JsOw9ZhtbJC9J+11TsULA43BtbK5BAnAH34/yFsOZSpQuiOdUi44EIH9MzHTLEIlsYtzi+CPSyxHBg5eFSvRodyyAA3P1iqvwrJQKRlB1OLPJ3cBWs9On1tYAGW7/WP5bi/mPuYya5ecAuVfBheGeOFPZU1XFg4P2RD6qgLuaOz9i+SER6TQDlNu9fpjk/qguNAJEo0itgDW2DHzsjeeB4qGRBP4zuUqxCXgobj+Uh1v8uc4wdkBieryOEgDKQKu8BKqTSBzK1vMmOwtSjIatVyf04IO0X6PX1ULmfcTWK8RCP4vdAoj1fcrGEJxxNuqVZxR8Za2DEjyKrIXSFUzW1XLPnIW0I1Wn301Vp+lPa6LWCnvBtlqfOoy5ujaiENheugSIJEMzVmbGLfCzZ9Ko27Mj2f94RR37FQ4p+OlUxLzInl18s6jZ4gtk4rj7GSohvznrqu10ec9mX2kHBy2oVFyAYkXuU3y4S0QKwIcfiIILXVrLLnEH383eDxjsyeYc7s1JhhKIkZbF0sV4C//v8D6bIlIh0hFjWBGohywN32k6V4+OPptI8xH4c7LD8H+svEUKp9ZTd4wK2EAiDcQs7/kjQBSkHixmBuiismpOaW/pcgwWSwo5/u0boj7YdmyL2AiaCDbZm/5K28qIwE2R7qE/ZZrXJ/pLVOeeS/+bkU3qrokufj44AKCUruFaDOh7QYB3B8qsxv2UzXBorLWD/xRI/c/0x78LULzcpEovnj0P7P6e4jAygcBXjsfyykNzTYgVl8fmjHG2QNihwdEnFZ5wtd3mbOtXaE4D1mKJ8ZMQlocmG0sqZMvRwglTxVQsk1+GBz5bG98y8/sti1zctDM7FW8viAULFGXbnvmshi8Ff6j5kWVY2r1LXadwjyMbmZNxuy9TenvWxW9R94wKViZgROp/hgvcRmeS19kRMhIxAFgUJEBzmlAtxP7nIYP1fPoO3LrqUigOlIRE8zZJNdnq0SfmAR9xbJoKi3bfc+dejyK7culygBtAJwNrDmehw0nyrV+B9jECdpbO592R5Em0ZM8ENIHviwKDqq3FaEKtrYNhai0IOZ5ocViFKnH62uEQfoexABSCaA2+roJrE3cwAxYZiPjjW5DAAOGGK217KkJSNd22aBRKWxIMfYV6Tc5ALpsXS9CqKumBVr2TEWTHm/3RvtNKQln/r8OH+qiL3EVTxCisO00+CtLyAFGV6gGxiKxjbMBSytJYbMuvBiFEkpO3WIh78icHjfqXoj2UU/SCuapRgk2IXOJCfQPDeIxsp59YdugDAUM/XuWnzdUvboxrvNl+JXVyNdeuo8h/JT18xQXmeYQsPR6GJExHxmSn2HGI57ssUMqVT5Q0YAACdLKaFcJXUBzEuBGGQfF35t9SKx4tmHFwYzKUTOJRRmQDeGvS0VKt3SiV+E7LIW8v5fNKYjtRtaTlUjhJSLEHtgIjqM8aIkotTTkVRxko3l8vah27vCBcBC6TR49I8/8nVqFn78fbTz0c/aeLvOH39jPl3y182zVTAc5CRRRytdqsYfObLA9zIDwXscXGansKjpldQPvb/V0AgjDDB2vsthxtQEeAxuE6KKeARFRO3YBWAj+8A52dT8WJHwyQI1vGc6APTvCRoGBdv5Unki7YM8O5YKfWTiJxMLpN+nS88pm8gsu6ycO9ZVIysk0xBGP3tpN8+YreLmrLvG39oQvxBAZXKOPl9K6yTx9Qr1agQE2IGqCf7doIzCl+OZnWFAr+jTB5GmjKsbRqTAM0yC9m5d0mzC4asl3N0DS7ZizXqeCc67kQNGFNzRtdEjtSlgtyYHH4vCeJslrb4784pkeFmuT15C6srPzYjCvRE9d8RjE6P6yNKDwr7TZapLjZTEoW/ftM1Vk5EOJ5/8xZ8+mdijDah8CrMq5/QCoOEEJFdxSeN3wt4NrlDdaB5aq5IbFjs/BLYFrDLxVgLBIA1DPee8TqQ0FyKjpP6QseW0uzDRSssFoLmEjoih6oq1zypvCEe1FC1sa/RVgh3fDT9Gv19aWRdOA/UYPOECwbGGy7woxIwLs+O34W0i11CQQ8ZV4Wlwuj49o/Q6K/Ts4iMQeGkw9TmqsaNAiBl+IlSAWWVKjPuSvlmCN6t26Ckd92Zw/jGQEM75VmoH2CVN7kXdpH86glWTF41K44/Kjf1asRNnYCGltxmUmoXo/4NqjP7lzAw4rhkvs7yTpn8ocl1fvyt//GpgNgej/dUODVaCpKGQ6N1I4GVrb8760dRvSm9tNfcy8LN+xE2arLDIolGOtB2n3yvqGaPtafnJCZP7aA+sPGzvTeVz33sdnH5MayNBoN9nq+tDZitNQ3TUgmmew8kVFH1QbVtUzlIr0AtU9KxucxTq/Mbf1PkbEz1ipBHw7bzpr/gIAr6rvMRatZDns46msF5bQ2dI4ravlYgs5HE458ad9QAvahKFTjb1CGW05Cr/06Rs00lBwtaoRBcUXfr2+ehpVDNiifaj9v2Z4rlf1/JY4yjPNrxEr/K1VsDLOCqMsmaSccBMiQP0DZQF5R7BX4G9kRlfCkPm3xsWF61Kol36RpNhKtuwhFt7zWV/yf1bMIfbxfZUg3UlOdbHay671KqWNqFvYfdq+WlWswotR+hiJ0EforRKmTTMEEFm7TagJV8SldFfgfgKQwTgmaIN9JgTdXGN8WIdMWinyYW27fPbmRd7z5oGUjLsGL5Bth5JtXr4umWauFyUGpPVchkY+MSb5mbY5TW3AgHcu547wS0CW01QDKd1v8KdPFeBV90UKds+8778znM9xBAKO2bVhBfwNGNtGoKQCLhv5YpfqNuiASbm0/yqsvaR62seu3WkepH0lPpUL4XOu0FVOp+AJIqDuALU14lVSNrVO8GIeQrH6GcQqwh5Jct9HXYggMKe+IfskmtrGpSoXsY0HzpPWy034O2Oc6ZidV4LBoLY3+5ssaX1mWy/2TtTC6d72w+ckCP6H7AzxiZ68o8WqRbW3U9vxM7zXr7Nk2Itsp3Ekk0G2L3TifdMdws+fTFx5UB5C8TfalswbLumD9+ODmmQBOWQrIEYy+o6EawkTQUeCTjWS9CPOjaaCmfLxPOnYPNNt/6TsWcgOuCMRFx2w3UaoTWIeuBZL0UqCHJ2PmjdEkt36E2jT7XccQvmynk1QBjZLLN9IeOEFXqiulQKdfcLRz0s/ryLmI/ssX5tm0vLogxBx60PXVxcsAn+WZ10KPZbnjJ09JxSQ3FQZy9MhmIqN/kbBLhwpRYeVZh3X3P25/K8w5TRKp1L917j3ythEXBmti4ESFbeFrXZ2talYEBfGLYKIKZRfj4Lvedl7gYedS1Fm86iTAiZtCbQtbQkkTtuW+bDFVgSL/oS++7l4BYc4+/Ouj8pxwPHXltvKNSiQsTF0NOL/dy588xcpgiGvo4nSTFef2XUh8elFauyrRfPnmzJO8DzZvgeT2pnA71ZIy1TqmC7u4YINV86/RYre8iI/zx305DaE2IV0SOYCX2HmXypTEx9IPUP8iwz9bC7xvBNusr0F9bP0YsboiwA+UMkXLNxkc2t584cX8mgi5zhdoqytSWss4MdZytXqqeZ6IcDuptAsI2BVCBrrpE9R2wIjXewz1D8vhuQ2e5NpqeYb3yA5tmM/E6FAlbiXzZna6hBuU5NlKZJdSFmCt6QBmtQZda2C8J02z4/YNqWtFpyKmw5XxKQsqzp5rXPpBQpgGduCnMJ5+BCp5OWHk1QJMpTgs8//PS+pKUPP9k7jJumClyWz+H5ZZXuDkpWwdtBybNRUOOLnzNkx95R8ew6TG50H8nqrwnO8XXabje1You/0EALXr8eRJ5TYa0cyYdE/XfawUmf6OFwY+nRsh38K9e0xkPuW67YVbzu+kF4sETfeWI/AURXZjUZ5BHUvsmdnZFohfpDDYylOKKcmZOW5ohgAd+RTCDN7ac0q6iWi485zQ==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”。

猜你喜欢

转载自www.cnblogs.com/lovesoul/p/12634018.html