Hardware Random Number Generator
Käännös: [ Google ]
Kategoriat: [ Askartelu/Arduino | ATK ]
Software random number generators are usually so-called pseudo-random number generators, because they produce a deterministic sequence of numbers that have some of the properties of true random numbers. Obtaining genuinly random numbers howerver requires a non-deterministic processus as the source of randomness. Thermal noise in electronics or radioactive decay have been used, usually requiring an external device to be built and plugged to the computer.
Peter Knight's TrueRandom generates random bits by using the Arduino's ADC (with nothing connected to the analog input pin) to measure electronic noise. It flips the pin's internal pull-up resistor while the measure takes place to increase the amount of noise. The software then keeps only the least significant bit of the result, filters it using Von Neumann's whitening algorithm (read pairs of bits until they are of different values and return 0 (respectively 1) on a 01 (respectively 10) transition). There are several functions that generate different types of numbers based on those random bits.
I reused that code, modified it to allow using another pin than the Arduino's Analog0 and I made my own random number generator. I also wrote a Python script that reads the bits from the serial port, uses the SHA-1 hashing algorithm to distil the data (the raw data has about 6 bit of entropy per byte, distillation produces data with 7.999 bits of entropy per byte; based on the work of Jeff Connelly on IMOTP) and writes them to the standard output or into a file. On my Duemilanove, it can output about 1500 bits/s, while it outputs 1300 bits/s on a JeeLink. The latter makes it an easy-to-transport device that is reasonnably sturdy and fits in the pocket, even if its features (it contains a radio transceiver) are a bit overkill for the job (not to mention expensive).
I also adapted the core of the TrueRandom software to run on my
ButtonBox (which
is conveniently always connected to my desktop computer). There the
output rate is a mere 300 bps, but it's still reasonnably fast for generating
a few random numbers when needed (for example for generating one's own
PasswordCard).
The access to the ButtonBox is shared among multiple clients using
button_box_server.py,
so a modified Python script was used for obtaining the stream of random bits
through the button_box_server.
I haven't had the patience to generate a few megabytes of random data to test the generator with the DieHarder test suite, but the output of Fourmilab's ent test tool looks reasonnable.
[ Postattu 15. elokuuta 2011 klo 11.08 | 2 kommenttia | kestävä linkki ]
The PasswordCard sounds like a good idea (and it actually may be in practice), but I don't like it so much for three reasons:
The entropy is too low (64 bits spread over 232 symbols) and generated from an unknown source of entropy. You have to memori...