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One of the key requirement of many schemes is that of random numbers.Sequence of random numbers are used at several stages of a standardcryptographic protocol. A simple example is of a Vernam cipher, where a stringof random numbers is added to massage string to generate the encrypted code. Itis represented as $C=M \oplus K $ where $M$ is the message, $K$ is the key and$C$ is the ciphertext. It has been mathematically shown that this simple schemeis unbreakable is key K as long as M and is used only once. For a goodcryptosystem, the security of the cryptosystem is not be based on keeping thealgorithm secret but solely on keeping the key secret. The quality andunpredictability of secret data is critical to securing communication by moderncryptographic techniques. Generation of such data for cryptographic purposestypically requires an unpredictable physical source of random data. In thismanuscript, we present studies of three different methods for producing randomnumber. We have tested them by studying its frequency, correlation as well asusing the test suit from NIST.

Hardware Random number Generator for cryptography