Slashdot Mirror


Ultra-low-cost True Randomness

Cryptocrat writes "Today I blogged about a new method for secure random sequence generation that is based on physical properties of hardware, but requires only hardware found on most computer systems: from standard PCs to RFID tags." Basically he's powercycling memory and looking at the default state of the bits, which surprisingly (to me anyway) is able to both to fingerprint systems, as well as generate a true random number. There also is a PDF Paper on the subject if you're interested in the concept.

4 of 201 comments (clear)

  1. A Slightly More Expensive Method by eldavojohn · · Score: 4, Interesting

    A slightly more expensive but somehow even more random method is to seed the generator against the words and phrases that come out of the mouth of South Carolina's Miss Teen USA.

    But in all seriousness, I wonder how this compares to the Mersenne Twister (Java implementation & PDF)that I use at home? I am almost sure this new proposed method is more efficient and faster, when will there be (I know, I'm lazy) a universal implementation of it? :)

    Also, this may be a stupid question, but I wonder how one measures the 'randomness' of a generator? Is there a unit that represents randomness? I mean, it would be seemingly impossible to do it using observation of the output so I guess all you can do is discuss how dependent it is on particular prior events and what they are, theoretically. Can you really say that this is 'more random' than another one because you have to know so much more before hand about the particular machine & its fingerprint in order to predict its generated number?

    --
    My work here is dung.
  2. A VERY interesting idea... by nweaver · · Score: 5, Interesting

    the true RNG properties rely on the fact that:

    a: Many of the bits are sorta random, but physically random. So very biased coins, but true randomness.

    b: With the right reduction function, you can turn a LOT (eg, 512 Kb) of cruddy random data to a small amount (128b-512b) of very high quality, well distributed random.

    And the fingerprinting relies on the fact that:

    a: Many other of the bits are physically random, but VERY VERY biased. So map where those are and record them and it is a very good fingerprint. And since it is all silicon process randomness going into that, it is pretty much a physically unclonable function.

    Kevin Fu has some SMART grad students.

    --
    Test your net with Netalyzr
  3. Don't follow the hype. Does not apply to PC's. by rpp3po · · Score: 5, Interesting

    The original paper is much better than CmdrTaco's quick conclusions.
    The described method is ONLY for SRAM (statical RAM), no DRAM, no SDRAM. You can find this on RFID chips and in a CPU'S cache, not in RAM. As there is no way to access a CPU's cache uninitialized, I can't see why this should be useful.
    If you have to modify a CPU first, to allow access to it's unitialized caches (think about all the unwanted implications), it's much cheaper to just give it a thermal diode and register to poll (as most modern CPU's already have).
    After all the described method is just another way of collecting thermal noise. As RFID's are custom designs most of the time, also there it would be cheaper to just use a thermal diode.
    The only application for this would be if you had to develop strong crypto for legacy RFID chips.
    Slashdot stories get worse by the day.

  4. Re:This is hardly random by tlhIngan · · Score: 5, Interesting

    As an embedded engineer, I've encountered numerous cases where power cycling RAM did not alter the contents.

    In fact, I've seen systems boot and run even after the power was cut for several seconds. Some types of SRAM and SDRAM have the ability to retain an (imperfect) memory image even at very low voltage levels. Sure, it's not guaranteed to be accurate by the manufacturer, but RAM "images" are a pretty well known phenomenon. In some cases, the contents of memory can be reconstructed even after the computer has been powered off and removed to a forensic laboratory.

    This is not random at all. In fact, it's more likely to produce an easily exploitable RNG than anything else; I would not be at all surprised if the standard UNIX random number generator provided better security.


    I've had this bite me, and exploited it.

    It bit me when booting into Windows CE - you'd power cycle the thing, and the OS would boot with the old RAM disk you had - we'd gotten to the point where we'd have the bootloader wipe the kernel memory so the data structures were all corrupted by the time the OS was trying to decide between mounting the RAM disk (object store) and starting fresh. It turns out that the longer an image is unchanged in RAM, the more likely the cells woudl be biased such that if you cycle the power on them, they're more likely to lean towards the way they were before power was cut.

    The time I exploited it, I didn't have any way of logging. Logging to serial port caused issues (timing-sensitive code), so I logged to memory (and no, I had no filesystem running, so I couldn't log to file). My trick was to simply log to a circular RAM buffer. When it crashed, I would just power cycle and dump the RAM buffer. Even though the data was fresh, it was enough to make out what my debug message was trying to say (almost always perfect). This was readable after a brief power cycle, and was still readable after turning power off for nearly a minute. The characters got corrupted, but since it was regular ASCII, you could still make out the words.