试试这个，我把上面已经提到的一些概念放在一起:

/*    
Uses the srand() function to seed the random number generator based on time value,
then returns an integer in the range 1 to max. Call this with random(n) where n is an integer, and you get an integer as a return value.
 */

int random(int max) {
    srand((unsigned) time(NULL));
    return (rand() % max) + 1;
}

#include<stdio.h>
#include<stdlib.h>
#include<time.h>

//generate number in range [min,max)
int random(int min, int max){
    int number = min + rand() % (max - min);
    return number; 
}

//Driver code
int main(){
    srand(time(NULL));
    for(int i = 1; i <= 10; i++){
        printf("%d\t", random(10, 100));
    }
    return 0;
}

Rand()是生成随机数最方便的方法。

你也可以从任何在线服务如random.org捕获随机数。

如果您需要比stdlib提供的质量更好的伪随机数，请检查Mersenne Twister。它也更快。示例实现有很多，例如这里。

我的极简解决方案应该适用于范围内的随机数[min, max)。在调用函数之前使用srand(time(NULL))。

int range_rand(int min_num, int max_num) {
    if (min_num >= max_num) {
        fprintf(stderr, "min_num is greater or equal than max_num!\n"); 
    }
    return min_num + (rand() % (max_num - min_num));
} 

如果您需要128个安全随机位，符合RFC 1750的解决方案是读取已知可以生成可用熵位的硬件源(例如旋转磁盘)。更好的是，好的实现应该使用混合函数组合多个源，并最终通过重新映射或删除输出来消除输出分布的倾斜。

如果你需要更多的比特，你需要做的就是从128个安全随机比特的序列开始，并将其拉伸到所需的长度，将其映射到人类可读的文本等等。

如果你想在C中生成一个安全的随机数，我将遵循这里的源代码:

https://wiki.sei.cmu.edu/confluence/display/c/MSC30-C.+Do+not+use+the+rand%28%29+function+for+generating+pseudorandom+numbers

注意，对于Windows bbcryptgenrandom是使用的，而不是CryptGenRandom，在过去的20年里已经变得不安全。您可以亲自确认BCryptGenRandom符合RFC 1750。

For POSIX-compliant operating systems, e.g. Ubuntu (a flavor of Linux), you can simply read from /dev/urandom or /dev/random, which is a file-like interface to a device that generates bits of entropy by combining multiple sources in an RFC 1750 compliant fashion. You can read a desired number of bytes from these "files" with read or fread just like you would any other file, but note that reads from /dev/random will block until a enough new bits of entropy are available, whereas /dev/urandom will not, which can be a security issue. You can get around that by checking the size of the available entropy pool, either my reading from entropy_avail, or by using ioctl.