一些更简单和更基本的东西，如果你想让你的字符串包含任何可打印的字符:

#include <time.h>   // we'll use time for the seed
#include <string.h> // this is for strcpy

void randomString(int size, char* output) // pass the destination size and the destination itself
{
    srand(time(NULL)); // seed with time

    char src[size];
    size = rand() % size; // this randomises the size (optional)

    src[size] = '\0'; // start with the end of the string...

    // ...and work your way backwards
    while(--size > -1)
        src[size] = (rand() % 94) + 32; // generate a string ranging from the space character to ~ (tilde)

    strcpy(output, src); // store the random string
}

下面是我用c++ 11改编的Ates Goral的答案。我在这里添加了lambda，但原理是你可以传入它，从而控制你的字符串包含什么字符:

std::string random_string( size_t length )
{
    auto randchar = []() -> char
    {
        const char charset[] =
        "0123456789"
        "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
        "abcdefghijklmnopqrstuvwxyz";
        const size_t max_index = (sizeof(charset) - 1);
        return charset[ rand() % max_index ];
    };
    std::string str(length,0);
    std::generate_n( str.begin(), length, randchar );
    return str;
}

下面是一个传递lambda到随机字符串函数的例子:http://ideone.com/Ya8EKf

为什么要用c++ 11呢?

因为您可以为感兴趣的字符集生成遵循特定概率分布(或分布组合)的字符串。 因为它内置了对非确定性随机数的支持 因为它支持unicode，所以你可以把它改成国际化的版本。

例如:

#include <iostream>
#include <vector>
#include <random>
#include <functional> //for std::function
#include <algorithm>  //for std::generate_n

typedef std::vector<char> char_array;

char_array charset()
{
    //Change this to suit
    return char_array( 
    {'0','1','2','3','4',
    '5','6','7','8','9',
    'A','B','C','D','E','F',
    'G','H','I','J','K',
    'L','M','N','O','P',
    'Q','R','S','T','U',
    'V','W','X','Y','Z',
    'a','b','c','d','e','f',
    'g','h','i','j','k',
    'l','m','n','o','p',
    'q','r','s','t','u',
    'v','w','x','y','z'
    });
};    

// given a function that generates a random character,
// return a string of the requested length
std::string random_string( size_t length, std::function<char(void)> rand_char )
{
    std::string str(length,0);
    std::generate_n( str.begin(), length, rand_char );
    return str;
}

int main()
{
    //0) create the character set.
    //   yes, you can use an array here, 
    //   but a function is cleaner and more flexible
    const auto ch_set = charset();

    //1) create a non-deterministic random number generator      
    std::default_random_engine rng(std::random_device{}());

    //2) create a random number "shaper" that will give
    //   us uniformly distributed indices into the character set
    std::uniform_int_distribution<> dist(0, ch_set.size()-1);

    //3) create a function that ties them together, to get:
    //   a non-deterministic uniform distribution from the 
    //   character set of your choice.
    auto randchar = [ ch_set,&dist,&rng ](){return ch_set[ dist(rng) ];};

    //4) set the length of the string you want and profit!        
    auto length = 5;
    std::cout<<random_string(length,randchar)<<std::endl;
    return 0;
}

样例输出。

而不是手动循环，更喜欢使用适当的c++算法，在这种情况下std::generate_n，具有适当的随机数生成器:

auto generate_random_alphanumeric_string(std::size_t len) -> std::string {
    static constexpr auto chars =
        "0123456789"
        "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
        "abcdefghijklmnopqrstuvwxyz";
    thread_local auto rng = random_generator<>();
    auto dist = std::uniform_int_distribution{{}, std::strlen(chars) - 1};
    auto result = std::string(len, '\0');
    std::generate_n(begin(result), len, [&]() { return chars[dist(rng)]; });
    return result;
}

这接近于我所说的这个问题的“规范”解决方案。

不幸的是，正确地播种一个通用的c++随机数生成器(例如MT19937)是非常困难的。因此上面的代码使用了一个辅助函数模板random_generator:

template <typename T = std::mt19937>
auto random_generator() -> T {
    auto constexpr seed_bytes = sizeof(typename T::result_type) * T::state_size;
    auto constexpr seed_len = seed_bytes / sizeof(std::seed_seq::result_type);
    auto seed = std::array<std::seed_seq::result_type, seed_len>();
    auto dev = std::random_device();
    std::generate_n(begin(seed), seed_len, std::ref(dev));
    auto seed_seq = std::seed_seq(begin(seed), end(seed));
    return T{seed_seq};
}

这很复杂，而且效率相对较低。幸运的是，它用于初始化thread_local变量，因此每个线程只调用一次。

最后，上述的必要包括:

#include <algorithm>
#include <array>
#include <cstring>
#include <functional>
#include <random>
#include <string>

上面的代码使用类模板参数演绎，因此需要c++ 17。通过添加所需的模板参数，可以对早期版本进行简单的修改。

您可以使用random()方法生成一个基本的随机字符串。 下面的代码生成一个由小写字母、大写字母和数字组成的随机字符串。

String randomStrGen(int numChars){
  String genStr="";
  int sizeStr=0;
  
  while(sizeStr<numChars){
    int asciiPos= random(48,122);
    if((asciiPos>57 && asciiPos<65) || (asciiPos>90 && asciiPos<97))
      continue;
    genStr+=(char) asciiPos;
    sizeStr++;
  }
  
  return genStr;
}

如果需要更安全的随机数生成器，只需将random()函数替换为更安全的随机数生成器。

此外，还可以通过将ASCII限制(48,122)更改为另一个自定义值来调整可能生成的字符

Qt使用示例:

QString random_string(int length=32, QString allow_symbols=QString("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789")) {
    QString result;
    qsrand(QTime::currentTime().msec());
    for (int i = 0; i < length; ++i) {            
        result.append(allow_symbols.at(qrand() % (allow_symbols.length())));
    }
    return result;
}

//C++ Simple Code
#include <bits/stdc++.h>
using namespace std;
int main() {
vector<char> alphanum =
    {'0','1','2','3','4',
'5','6','7','8','9',
'A','B','C','D','E','F',
'G','H','I','J','K',
'L','M','N','O','P',
'Q','R','S','T','U',
'V','W','X','Y','Z',
'a','b','c','d','e','f',
'g','h','i','j','k',
'l','m','n','o','p',
'q','r','s','t','u',
'v','w','x','y','z'
};
string s="";
int len=5;
srand(time(0)); 
for (int i = 0; i <len; i++) {
    int t=alphanum.size()-1;
    int idx=rand()%t;
    s+= alphanum[idx];
}
cout<<s<<" ";
return 0;
}