From: Hal <74076.1041@CompuServe.COM>
To: <cypherpunks@toad.com>
Message Hash: d0cdf37862a08eb320259be895a22b43cc11338e103c962cce2ed409ec5b4eaa
Message ID: <93031207521174076.1041_DHJ35-1@CompuServe.COM>
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UTC Datetime: 1993-03-12 07:56:36 UTC
Raw Date: Thu, 11 Mar 93 23:56:36 PST
From: Hal <74076.1041@CompuServe.COM>
Date: Thu, 11 Mar 93 23:56:36 PST
To: <cypherpunks@toad.com>
Subject: Tagging data to detect thieves
Message-ID: <930312075211_74076.1041_DHJ35-1@CompuServe.COM>
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Mark Ringuette asks about schemes to detect which copies of some
proprietary information were used to resell the data.
I recall reading a paper on this in the proceedings of one of the crypto
conferences within the past several years. Unfortunately, I don't have
a more accurate reference handy. The authors referred to this problem
as "digital fingerprinting" (i.e. adding a "fingerprint" to each copy of
a document).
As I recall, the idea was to twiddle bits in such a way that any subset
of copies up to a specified size would have a certain number of
identically twiddled bits. The thiefs who cross-correlate 64 (or
however many) copies will not know about the bit twiddles which were
common to all 64 copies. Their output will still contain those common
bit-twiddles, and this information allows the thiefs to be caught. The
paper shows a formula for the number of possible bit-twiddle-places and
the number of bit-twiddles per copy needed, as a function of how many
copies you are defending against the bad guys getting. It was basically
just a combinatorial/counting argument.
I do seem to recall that if the bad guys could get a lot of copies the
number of bits needed grew exponentially. I don't know whether
defeating an attack with 64 copies was practical using this scheme.
Mark also asked about secret sharing. The classic secret sharing paper
is "How to Share a Secret"; I think it was by Shamir, in an old CACM
from the 70's. As I recall, he proposed encoding the data as a K-1
degree polynomial in some modulus field. Give each person a point on
the polynomial. K points are required to recover the polynomial. I
don't recall how the encoding of the data as a polynomial was to be
done, but the author showed that K-1 points gives you no information
about it.
Hal
74076.1041@compuserve.com
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