Difference between revisions of "Random number generation"

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There are also [[Wikipedia:Cryptographically_secure_pseudorandom_number_generator|cryptographically secure pseudorandom number generator]]s
There are also [[Wikipedia:Cryptographically_secure_pseudorandom_number_generator|cryptographically secure pseudorandom number generator]]s
like [[Wikipedia:Yarrow_algorithm|Yarrow]] (FreeBSD/OS-X) or [[Wikipedia:Fortuna_(PRNG)|Fortuna]] (the intended successor of Yarrow).
like [[Wikipedia:Yarrow_algorithm|Yarrow]] (FreeBSD/OS-X) or [[Wikipedia:Fortuna_(PRNG)|Fortuna]] (the intended successor of Yarrow).
== See also ==
* [[Haveged]], an entropy harvesting daemon

Revision as of 11:31, 28 August 2013

From wikipedia:Random number generation:

A random number generator (RNG) is a computational or physical device designed to generate a sequence of numbers or symbols that lack any pattern, i.e. appear random.

Generation of random data is crucial for several applications like making cryptographic keys (e.g. for Disk Encryption), securely wiping disks, running encrypted Software Access Points.

Kernel built-in RNG

The kernel build in RNG's /dev/{,u}random are highly recommended for producing reliable random data providing the same security level that is used for the creation of cryptographic keys. The random number generator gathers environmental noise from device drivers and other sources into an entropy pool.

The man random command will misdirect to the library function manpage random(3) while for information about the /dev/random device files you should run man 4 random to read random(4).


uses an entropy pool of 4096 bits (512 Bytes) to generate random data and stops when the pool is exhausted until it get's (slowly) refilled. /dev/random is absolutely not designed for wiping entire HDD's, but rather to generate cryptographic keys (e.g. SSL/SSH).

The Kernel built-in RNG /dev/random provides you the same quality random data you would use for keygeneration, but can be nearly impractical to use at least for wiping current HDD capacitys. What makes disk wiping take so long with is to wait for it to gather enough true entropy. In an entropy starved situation (e.g. remote server) this might never end while doing search operations on large directories or moving the mouse in X can slowly refill the entropy pool.

You can always compare /proc/sys/kernel/random/entropy_avail against /proc/sys/kernel/random/poolsize to keep an eye on your entropy pool.

One can compare the actual available entropy /proc/sys/kernel/random/entropy_avail against /proc/sys/kernel/random/poolsize to keep an eye on the entropy pool. More information on the kernel RNG is available via man 4 random.

The Kernels poolsize is 4096 bit. (512 Byte)

While Linux kernel 2.4 did have writable /proc-entries for controlling the entropy-poolsize in newer kernels only read_wakeup_threshold and write_wakeup_threshold are writable.

The pool size is now hardcoded in kernel line 275 of /drivers/char/random.c

 * Configuration information
#define INPUT_POOL_WORDS 128
#define SEC_XFER_SIZE 512

where poolsize is 4096 = INPUT * OUTPUT


reuses existing entropy pool data while the pool is replenished and although not suited for the most crucial cryptographic purposes, for example the generation of longterm keys, its quality should be sufficient for a paranoid disk wipe, preparing for block device encryption, wiping LUKS keyslots, wiping single files and many other purposes.

/dev/random uses the kernel entropy pool and will halt overwriting until more input entropy once this pool has been exhausted. This can make it impractical for overwriting large hard disks.

/dev/urandom in contrast will reuse entropy when low on it so you won't get stuck. Nevertheless it might still take a long time to bottle-feed the neverending surge of large drives with data.

The output may contain less entropy than the corresponding read from /dev/random. However it is still intended as a pseudorandom number generator suitable for most cryptographic purposes,

Warning: /dev/urandom is not recommended for the generation of long-term cryptographic keys.

Faster alternatives

A more practical compromise between performance and security is the use of a pseudorandom number generator, e.g. Frandom.

There are also cryptographically secure pseudorandom number generators like Yarrow (FreeBSD/OS-X) or Fortuna (the intended successor of Yarrow).

See also

  • Haveged, an entropy harvesting daemon