我如何在c#中生成一个随机的8个字符的字母数字字符串?
当前回答
对于加密和非加密，有效地:
public static string GenerateRandomString(int length, string charset = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890") =>
new Random().GenerateRandomString(length, charset);
public static string GenerateRandomString(this Random random, int length, string charset = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890") =>
RandomString(random.NextBytes, length, charset.ToCharArray());
public static string GenerateRandomCryptoString(int length, string charset = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890")
{
using (var crypto = new System.Security.Cryptography.RNGCryptoServiceProvider())
return crypto.GenerateRandomCryptoString(length, charset);
}
public static string GenerateRandomCryptoString(this RNGCryptoServiceProvider random, int length, string charset = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890") =>
RandomString(random.GetBytes, length, charset.ToCharArray());
private static string RandomString(Action<byte[]> fillRandomBuffer, int length, char[] charset)
{
if (length < 0)
throw new ArgumentOutOfRangeException(nameof(length), $"{nameof(length)} must be greater or equal to 0");
if (charset is null)
throw new ArgumentNullException(nameof(charset));
if (charset.Length == 0)
throw new ArgumentException($"{nameof(charset)} must contain at least 1 character", nameof(charset));
var maxIdx = charset.Length;
var chars = new char[length];
var randomBuffer = new byte[length * 4];
fillRandomBuffer(randomBuffer);
for (var i = 0; i < length; i++)
chars[i] = charset[BitConverter.ToUInt32(randomBuffer, i * 4) % maxIdx];
return new string(chars);
}
使用生成器和LINQ。不是最快的选项(特别是因为它不会一次生成所有字节)，但相当整洁和可扩展:
private static readonly Random _random = new Random();
public static string GenerateRandomString(int length, string charset = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890") =>
new string(_random.GetGenerator().RandomChars(charset.ToCharArray()).Take(length).ToArray());
public static string GenerateRandomCryptoString(int length, string charset = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890")
{
using (var crypto = new System.Security.Cryptography.RNGCryptoServiceProvider())
return new string(crypto.GetGenerator().RandomChars(charset.ToCharArray()).Take(length).ToArray());
}
public static IEnumerable<char> RandomChars(this Func<uint, IEnumerable<uint>> randomGenerator, char[] charset)
{
if (charset is null)
throw new ArgumentNullException(nameof(charset));
if (charset.Length == 0)
throw new ArgumentException($"{nameof(charset)} must contain at least 1 character", nameof(charset));
return randomGenerator((uint)charset.Length).Select(r => charset[r]);
}
public static Func<uint, IEnumerable<uint>> GetGenerator(this Random random)
{
if (random is null)
throw new ArgumentNullException(nameof(random));
return GeneratorFunc_Inner;
IEnumerable<uint> GeneratorFunc_Inner(uint maxValue)
{
if (maxValue > int.MaxValue)
throw new ArgumentOutOfRangeException(nameof(maxValue));
return Generator_Inner();
IEnumerable<uint> Generator_Inner()
{
var randomBytes = new byte[4];
while (true)
{
random.NextBytes(randomBytes);
yield return BitConverter.ToUInt32(randomBytes, 0) % maxValue;
}
}
}
}
public static Func<uint, IEnumerable<uint>> GetGenerator(this System.Security.Cryptography.RNGCryptoServiceProvider random)
{
if (random is null)
throw new ArgumentNullException(nameof(random));
return Generator_Inner;
IEnumerable<uint> Generator_Inner(uint maxValue)
{
var randomBytes = new byte[4];
while (true)
{
random.GetBytes(randomBytes);
yield return BitConverter.ToUInt32(randomBytes, 0) % maxValue;
}
}
}
一个更简单的版本，使用LINQ只用于非加密字符串:
private static readonly Random _random = new Random();
public static string RandomString(int length, string charset = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890") =>
new string(_random.GenerateChars(charset).Take(length).ToArray());
public static IEnumerable<char> GenerateChars(this Random random, string charset)
{
if (charset is null) throw new ArgumentNullException(nameof(charset));
if (charset.Length == 0) throw new ArgumentException($"{nameof(charset)} must contain at least 1 character", nameof(charset));
return random.Generator(charset.Length).Select(r => charset[r]);
}
public static IEnumerable<int> Generator(this Random random, int maxValue)
{
if (random is null) throw new ArgumentNullException(nameof(random));
return Generator_Inner();
IEnumerable<int> Generator_Inner() { while (true) yield return random.Next(maxValue); }
}
其他回答
var chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789";
var stringChars = new char[8];
var random = new Random();
for (int i = 0; i < stringChars.Length; i++)
{
stringChars[i] = chars[random.Next(chars.Length)];
}
var finalString = new String(stringChars);
不如Linq解决方案优雅。
(注意:Random类的使用使得它不适用于任何与安全性相关的事情，比如创建密码或令牌。如果你需要强随机数生成器，请使用RNGCryptoServiceProvider类。)
我不知道这在密码学上听起来如何，但它比迄今为止(在我看来)更复杂的解决方案更具可读性和简练性，而且它应该比系统更“随机”。Random-based解决方案。
return alphabet
.OrderBy(c => Guid.NewGuid())
.Take(strLength)
.Aggregate(
new StringBuilder(),
(builder, c) => builder.Append(c))
.ToString();
我不知道我认为这个版本还是下一个版本“更漂亮”，但它们给出了完全相同的结果:
return new string(alphabet
.OrderBy(o => Guid.NewGuid())
.Take(strLength)
.ToArray());
当然，它并没有针对速度进行优化，所以如果每秒生成数百万个随机字符串是关键任务，请尝试另一个!
注意:此解决方案不允许字母中符号的重复，并且字母必须等于或大于输出字符串的大小，使得这种方法在某些情况下不太可取，这完全取决于您的用例。
更新。net 6。RNGCryptoServiceProvider被标记为obsolete。相反，调用RandomNumberGenerator.Create()。答案中的代码已相应更新。
根据评论更新。原始实现生成a-h的时间为1.95%，其余字符的时间为1.56%。更新生成所有字符~1.61%的时间。 FRAMEWORK支持- . net Core 3(以及未来支持. net Standard 2.1或以上版本的平台)提供了一个加密的方法RandomNumberGenerator.GetInt32()，在期望的范围内生成一个随机整数。
与目前提出的一些替代方案不同，这个方案在密码学上是合理的。
using System;
using System.Security.Cryptography;
using System.Text;
namespace UniqueKey
{
public class KeyGenerator
{
internal static readonly char[] chars =
"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890".ToCharArray();
public static string GetUniqueKey(int size)
{
byte[] data = new byte[4*size];
using (var crypto = RandomNumberGenerator.Create())
{
crypto.GetBytes(data);
}
StringBuilder result = new StringBuilder(size);
for (int i = 0; i < size; i++)
{
var rnd = BitConverter.ToUInt32(data, i * 4);
var idx = rnd % chars.Length;
result.Append(chars[idx]);
}
return result.ToString();
}
public static string GetUniqueKeyOriginal_BIASED(int size)
{
char[] chars =
"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890".ToCharArray();
byte[] data = new byte[size];
using (RNGCryptoServiceProvider crypto = new RNGCryptoServiceProvider())
{
crypto.GetBytes(data);
}
StringBuilder result = new StringBuilder(size);
foreach (byte b in data)
{
result.Append(chars[b % (chars.Length)]);
}
return result.ToString();
}
}
}
基于这里对替代方案的讨论，并根据下面的评论进行了更新/修改。
下面是一个小型测试工具，演示了旧输出和更新输出中的字符分布。关于随机性分析的深入讨论，请访问random.org。
using System;
using System.Collections.Generic;
using System.Linq;
using UniqueKey;
namespace CryptoRNGDemo
{
class Program
{
const int REPETITIONS = 1000000;
const int KEY_SIZE = 32;
static void Main(string[] args)
{
Console.WriteLine("Original BIASED implementation");
PerformTest(REPETITIONS, KEY_SIZE, KeyGenerator.GetUniqueKeyOriginal_BIASED);
Console.WriteLine("Updated implementation");
PerformTest(REPETITIONS, KEY_SIZE, KeyGenerator.GetUniqueKey);
Console.ReadKey();
}
static void PerformTest(int repetitions, int keySize, Func<int, string> generator)
{
Dictionary<char, int> counts = new Dictionary<char, int>();
foreach (var ch in UniqueKey.KeyGenerator.chars) counts.Add(ch, 0);
for (int i = 0; i < REPETITIONS; i++)
{
var key = generator(KEY_SIZE);
foreach (var ch in key) counts[ch]++;
}
int totalChars = counts.Values.Sum();
foreach (var ch in UniqueKey.KeyGenerator.chars)
{
Console.WriteLine($"{ch}: {(100.0 * counts[ch] / totalChars).ToString("#.000")}%");
}
}
}
}
更新7/25/2022
根据评论中的一个问题，我很好奇这种分布是否真的是随机的。
我不是统计学家，但我可以在电视上扮演一个。如果一位真正的统计学家愿意插话，那将是最受欢迎的。
有62个可能的输出值(A-Za-Z0-9)和int。用于选择数组索引的最大值。int。MaxValue % 62是1，所以一个字符被选中的概率是其他字符的十亿分之一。我们可以通过在索引之前随机旋转输出值数组来进一步减少选择偏差。
t检验或其他统计度量将是确定输出结果中是否存在偏差的最佳方法，但这不是我在午休时间可以完成的工作，因此我留给您对上述代码的修改，以度量与预期的偏差。注意，它趋于零。
using System.Security.Cryptography;
using System.Text;
const int REPETITIONS = 1_000_000;
const int KEY_SIZE = 32;
int TASK_COUNT = Environment.ProcessorCount - 1;
var expectedPercentage = 100.0 / KeyGenerator.chars.Length;
var done = false;
var iterationNr = 1;
var totalRandomSymbols = 0L;
var grandTotalCounts = new Dictionary<char, long>();
foreach (var ch in KeyGenerator.chars) grandTotalCounts.Add(ch, 0);
while (!done)
{
var experiments = Enumerable.Range(0, TASK_COUNT).Select(i => Task.Run(Experiment)).ToArray();
Task.WaitAll(experiments);
var totalCountsThisRun = experiments.SelectMany(e => e.Result)
.GroupBy(e => e.Key)
.Select(e => new { e.Key, Count = e.Select(_ => _.Value).Sum() })
.ToDictionary(e => e.Key, e => e.Count);
foreach (var ch in KeyGenerator.chars)
grandTotalCounts[ch] += totalCountsThisRun[ch];
var totalChars = grandTotalCounts.Values.Sum();
totalRandomSymbols += totalChars;
var distributionScores = KeyGenerator.chars.Select(ch =>
new
{
Symbol = ch,
OverUnder = (100.0 * grandTotalCounts[ch] / totalChars) - expectedPercentage
});
Console.WriteLine($"Iteration {iterationNr++}. Total random symbols: {totalRandomSymbols:N0}");
foreach (var chWithValue in distributionScores.OrderByDescending(c => c.OverUnder))
{
Console.WriteLine($"{chWithValue.Symbol}: {chWithValue.OverUnder:#.00000}%");
}
done = Console.KeyAvailable;
}
Dictionary<char, long> Experiment()
{
var counts = new Dictionary<char, long>();
foreach (var ch in KeyGenerator.chars) counts.Add(ch, 0);
for (int i = 0; i < REPETITIONS; i++)
{
var key = KeyGenerator.GetUniqueKey(KEY_SIZE);
foreach (var ch in key) counts[ch]++;
}
return counts;
}
public class KeyGenerator
{
internal static readonly char[] chars =
"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890".ToCharArray();
public static string GetUniqueKey(int size)
{
byte[] data = new byte[4 * size];
using (var crypto = RandomNumberGenerator.Create())
{
crypto.GetBytes(data);
}
StringBuilder result = new StringBuilder(size);
for (int i = 0; i < size; i++)
{
var rnd = BitConverter.ToUInt32(data, i * 4);
var idx = rnd % chars.Length;
result.Append(chars[idx]);
}
return result.ToString();
}
}
最简单的:
public static string GetRandomAlphaNumeric()
{
return Path.GetRandomFileName().Replace(".", "").Substring(0, 8);
}
如果硬编码char数组并依赖于System，则可以获得更好的性能。随机:
public static string GetRandomAlphaNumeric()
{
var chars = "abcdefghijklmnopqrstuvwxyz0123456789";
return new string(chars.Select(c => chars[random.Next(chars.Length)]).Take(8).ToArray());
}
如果你担心英文字母可能会改变，你可能会失去业务，那么你可以避免硬编码，但应该表现得稍差(与Path相比)。GetRandomFileName方法)
public static string GetRandomAlphaNumeric()
{
var chars = 'a'.To('z').Concat('0'.To('9')).ToList();
return new string(chars.Select(c => chars[random.Next(chars.Length)]).Take(8).ToArray());
}
public static IEnumerable<char> To(this char start, char end)
{
if (end < start)
throw new ArgumentOutOfRangeException("the end char should not be less than start char", innerException: null);
return Enumerable.Range(start, end - start + 1).Select(i => (char)i);
}
如果您可以将后两种方法作为System上的扩展方法，那么它们看起来会更好。随机的实例。
您只需使用程序集SRVTextToImage。并编写下面的代码生成随机字符串。
CaptchaRandomImage c1 = new CaptchaRandomImage();
string text = c1.GetRandomString(8);
它主要用于实现验证码。但对你来说也一样。希望能有所帮助。
