u_int
mkhash (u_int src, u_short sport, u_int dest, u_short dport)
{
u_int res = 0;
int i;
u_char data[12];
u_int *stupid_strict_aliasing_warnings=(u_int*)data;
*stupid_strict_aliasing_warnings = src;
*(u_int *) (data + 4) = dest;
*(u_short *) (data + 8) = sport;
*(u_short *) (data + 10) = dport;
for (i = 0; i < 12; i++)
res = ( (res << 8) + (data[perm[i]] ^ xor[i])) % 0xff100f;
return res;
}
Here is libnids hash algorithm above. When table size is 65536 ,Can two different tuple4 get the same hash value ?
You have 96 bits that you're trying to hash into 32 bits, so the probability of collision occurring at some point is 100%.
Assuming that your hash function generates uniformly distributed values, the chance of collision when generating 65,536 32-bit hash values is pretty close to 50%.
I discussed this at some length in my article Birthdays, Random Numbers, and Hash Keys. It includes reference to a simple formula that can estimate the likelihood of collision given a key size and number of hashes generated.