Is it possible to guess hash collision probabilities?
The answer is not always intuitive, so it’s difficult to guess correctly. Let’s derive the math and try to get a better feel for those probabilities. There are many choices of hash function, and the creation of a good hash function is still an active area of research. Some hash functions are fast; others are slow.
How does MD5 reduce chance of hash collisions?
This can be summed up as follows: when using several hash functions in parallel and concatenating the outputs, the total is not stronger against collisions than the strongest of the individual functions. And, of course, MD5 itself is weak against collisions and as such should not be envisioned for newer designs.
Can a 384 bit hash function protect against collisions?
The total size of 384 bits would certainly not provide more security against collisions that what a 384-bit hash function would give; but it actually is much weaker than that: it would not be really much stronger than SHA-256 alone. See this previous question, and this research article for the gory details.
What are the most interesting probabilities in hashing?
That’s why the most interesting probabilities are the small ones. Assuming your hash values are 32-bit, 64-bit or 160-bit, the following table contains a range of small probabilities. If you know the number of hash values, simply find the nearest matching row.
Can a cache-url with query cause caching?
Adding a query-string key/value pair to a static resource (such as an image, CSS or JavaScript) can cause caching issues. The Firefox disk cache hash functions can generate collisions for URLs that differ only slightly, namely only on 8-character boundaries.
What is the collision probability for 4 byte integer?
However, the aspect of original message length is not covered. CRC32 collision probability for 4 byte integer vs 1.5K Ethernet packet vs 2TB drive image are the same with regard to number of hashes.