zoukankan      html  css  js  c++  java
  • Java 实现Md5算法

    package other;

    import java.security.MessageDigest;
    import java.security.NoSuchAlgorithmException;
    /*
     * MD5 算法
    */
    public class MD5 {
        
        // 全局数组
        private final static String[] strDigits = { "0", "1", "2", "3", "4", "5",
                "6", "7", "8", "9", "a", "b", "c", "d", "e", "f" };

        public MD5() {
        }

        // 返回形式为数字跟字符串
        private static String byteToArrayString(byte bByte) {
            int iRet = bByte;
            // System.out.println("iRet="+iRet);
            if (iRet < 0) {
                iRet += 256;
            }
            int iD1 = iRet / 16;
            int iD2 = iRet % 16;
            return strDigits[iD1] + strDigits[iD2];
        }

        // 返回形式只为数字
        private static String byteToNum(byte bByte) {
            int iRet = bByte;
            System.out.println("iRet1=" + iRet);
            if (iRet < 0) {
                iRet += 256;
            }
            return String.valueOf(iRet);
        }

        // 转换字节数组为16进制字串
        private static String byteToString(byte[] bByte) {
            StringBuffer sBuffer = new StringBuffer();
            for (int i = 0; i < bByte.length; i++) {
                sBuffer.append(byteToArrayString(bByte[i]));
            }
            return sBuffer.toString();
        }

        public static String GetMD5Code(String strObj) {
            String resultString = null;
            try {
                resultString = new String(strObj);
                MessageDigest md = MessageDigest.getInstance("MD5");
                // md.digest() 该函数返回值为存放哈希值结果的byte数组
                resultString = byteToString(md.digest(strObj.getBytes()));
            } catch (NoSuchAlgorithmException ex) {
                ex.printStackTrace();
            }
            return resultString;
        }

        public static void main(String[] args) {
            MD5 getMD5 = new MD5();
            System.out.println(getMD5.GetMD5Code("000000"));
        }
    }

  • 相关阅读:
    DeepLearning.aiWeek1Convolution+model++Application
    搭建自己的git服务器
    Deep Neural Networks for Object Detection(翻译)
    VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGESCALE IMAGE RECOGNTION(翻译)
    windows 10下sublime text3环境的搭建以及配置python开发环境
    DeepLearning.aiWeek2Residual Networks
    DeepLearning.aiWeek4Deep Learning & Art: Neural Style Transfer
    同步&异步+阻塞&非阻塞(理解)
    VGGNet学习——实践
    Realtime MultiPerson 2D Pose Estimation using Part Affinity Fields(理解)
  • 原文地址:https://www.cnblogs.com/zhangtan/p/5889138.html
Copyright © 2011-2022 走看看