Introduction to Digital Cash |
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by Orlin Grabbe |

Talk given to the Libertarian Party of Colorado Estes Park, April 20, 1997 |

Digital cash (or, equivalently, electronic cash) refers to electronic records or messages which serve as money, cannot be easily counterfeited, can be verified as authentic by the institution granting the digital cash, and can be securely transferred to others. Essentially, digital cash is a payment message bearing a digital signature which functions as a medium of exchange or store of value.What is a digital signature? Any computer message M is a string of 1s and 0s (on or off switches), and thus can be considered a binary number. In the Digital Signature Algorithm (DSA) — adopted by the U.S. government-- and in the RSA system widely used in banking, messages are signed by raising them to a power, say x, and taking the result modulo some large number p. (That is, we only keep the remainder after division by p. For example 3^4 mod 7 = 81 mod 7 = 4, because 7 goes into 81 eleven times with 4 left over.) The signed M is M^x mod p. In DSA the number p is prime, while in RSA, p is the product of two large primes. The power x plays the role of a secret or private signing or encryption key.

Why does taking powers work as a system of digital signatures? Because taking powers (repeated multiplications) is easy in modular arithmetic, but finding logarithms is hard. Given M and x, it is easy to find M^x mod p. But given M^x and M, it is virtually impossible to find x. Here x is the logarithm of (M^x mod p) to the base M. Finding x is the "discrete logarithm problem", which is impossible given any reasonable constraints on time and money (computing power). So discovering the secret signing key is hard. If p is a prime about 1000 bits in length (about 300 decimal digits), only about 2000 multiplications of 1000-bit numbers are required to compute the exponentiation of M. By contrast, the fastest techniques for taking logarithms in arithmetic modulo p currently demand around 2^100 (or approximately 10^30) operations. Using the best supercomputer would take millions of years to compute the logarithm of M^x mod p.

Signing, or encryption, is raising a message to a power. Verification, or decryption, is an inverse procedure that restores the original message. In DSA, and in the digital cash system of Stefan Brands, we work in groups of prime order q. That means that the q members of the group are formed by the q powers of some number g: {g, g^2, g^3, . . ., g^(q-1), g^q = 1}, with all calculations done modulo p. The number g is called the "generator" of the group. That fact that g^q = 1 mod p, and that no lower positive power than the qth power of g equals 1, is what we mean by the "order" of the group being q. The power q plays the role of zero: g^0 = g^q = 1 mod p.

For example, the number g = 70322 is a generator of a group of order q = 1031 when arithmetic is done modulo p = 88667. That is, 70322^1031 = 1 mod 88667, but no positive power (no power greater than zero) of g smaller than 1031 equals 1. In practice, we want q to be in the neighborhood of 2^160 (about 48 decimal digits), and p to be in the range of 2^512 to 2^1024 (154 to 308 decimal digits). It's a fact from number theory that q will evenly divide into p-1 (i.e., with no remainder).

So, for our signature system that we will need to create a system of digital cash, we pick primes p, q, and a generator g. Next, a user will need two keys. The first one will be a number x, randomly chosen from 1 to q, 1<= x <=q. This power x will be the secret or private key. The second key h is obtained by raising the generator to the power of the first key: h = g^x mod p. The number h, 1<= h <=p-1, will be a public key. Everything except x is public information: p, q, g, and h are known to both parties in any transaction.

Next, we consider the problem of how to identify people at the other end of the telecommunication line. How do we know that someone is who she says she is? One way is to have them prove that they know a secret key x. Since only Alice knows Alice's own secret key x, such a demonstration of knowledge will suffice to identify Alice. But Alice doesn't want to foolishly tell us her own secret key (which would allow us to sign messages as Alice). What we want is a "zero-knowledge proof". A zero-knowledge proof is one whereby someone shows she knows something, without her having to reveal to others anything about what she knows.

Consider a bank vault with a single door, with a combination that can be entered on a keypad from either side without observation from the other side of the door. Alice says she knows the combination. So to see if this is true, I lock her inside the vault and wait outside. She opens the door and walks out. She has demonstrated to me she knows the vault combination, without revealing to me even a single digit in the combination.

The example of a zero-knowledge proof that we will concentrate on is one used in the Schnorr identification scheme, which forms a significant part of Stefan Brands' scheme of digital cash (and Brands' scheme is the only one worth talking about). The way Schnorr identification works is Alice treats her secret key x like the slope of a line. Alice chooses a random intercept w, 1<=w<=q. Bob sends Alice a challenge c. Alice responds with a point y on the line that has intercept w and slope x: y = w + c*x mod q. Bob will be able to establish that y is indeed on the line with the proper slope and intercept, and will hence be satisfied that Alice is who she says she is (namely, the person with key x). But Bob will not be able to, at the same time, learn Alice's key.

Now, Bob will know his challenge c, and Alice's response y. If he knew w also, Bob would learn Alice's secret key. So Alice doesn't send Bob w. Instead she sends Bob g^w mod p. Bob can't solve for w, because w is a discrete logarithm, and that's too hard.

Here how the process goes: 1) Alice sends g^w mod p to Bob, stating she is Alice. 2) Bob sends back a challenge c, saying prove it. 3) Alice responds with y = w+c*x mod q. 4) Bob checks that g^y = g^w*h^c mod p. [Note that g^w*h^c = g^w*g^(x*c) = g^(w+c*x) = g^y.]

Bob (Bob's computer software) can do this check easily enough, because all he has to do is take powers. In doing the check, Bob uses Alice's public key h. If Alice doesn't know the secret key x corresponding to h, then the verification will fail.

We note, parenthetically, that Bob can send secret messages to Alice using her public key h. Suppose Bob has a message M. First, Bob chooses a random number k, 1<=k<=q, and sends Alice the message M which has been hidden or "blinded" (encrypted) by multiplying it by h^k, namely M*h^k mod p. Bob also sends Alice g^k mod p. When Alice receives these two pieces of information, she decrypts the message as follows. She raises the second number g^k to the power of her secret key x: (g^k)^x = (g^x)^k = h^k. She then divides M*h^k by h^k, and obtains the original message M. (This is in fact a well-known cryptosystem called the ElGamal Cryptosystem.)

We are ready to do digital cash. Digital cash is a signed payment message. It could be, for example, a bank coin serial number raised to a power x. This fact tells us right away two problems with digital cash. The first is that, signed or not, the cash is a computer string, a series of 0s and 1s. It's easy to make a copy of it. It's easy to make a million copies of it. Spending more than one copy — attempting to spend the same coin twice — is called "double-spending". It's analogous to counterfeiting. Unlike cloning, it's a form of theft. The digital cash issuer has to protect itself against double-spending.

One way to prevent double-spending is for the bank to keep a record of all signed serial numbers. When a coin is presented for payment, the bank checks its signature, and then checks to see if the coin was spent previously. If not, it honors the presentation of the coin. This, however, raises two further issues. Payments have to be made on-line (there has to be a connection to a central computer), which may not be convenient. The bank also has a complete computer record of to whom it issued each coin and where that coin was spent. We are dealing with Big Brother Bank and potentially all other forms of the Surveillance State. At this point digital signatures have gotten us digital cash, but not privacy or anonymity.

Digital cash systems that don't pay attention to privacy are "privacy-invading systems". Virtually all commercial systems being proposed are privacy-invading. They worry about the bank's security, but don't pay any attention to the security of the customer (in terms of protection from financial surveillance).

For a good privacy-protecting, anonymous digital cash system, we need to add two elements to digital signatures: the notion of a "restrictive blind" signature, and the Schnorr identification scheme (which we have already seen).

The notion of "blinding" is simply one of disguising it by multiplying it by a number. We just saw one example of this: the ElGamal Cryptosystem, where a message is blinded by multiplying it by the recipient's public key raised to a random, unknown power. In our digital cash system, we want the money or coins the bank signs to be blinded in such a way that the bank can't trace the coin. When the coin is turned in, the bank won't be able to identify who withdrew it. This maintains the customer's privacy. But blinding causes another problem. How does the bank identify double-spenders, if the coin-holder can't be identified?

The notion of "restrictive" blinding is to make the blinding conditional, so that if a person double-spends, the blinding is stripped away, and the spender's identity is revealed. To see how this is done, think of points on a line. Two points in a plane determine a straight line. From two points, we can solve for the slope of the line. But the slope of the line is, in the Schnorr identification protocol, the coin-holder's secret key. When Bob sent the challenge c, Alice responded with y. The pair (c, y) is a point in the plane. If Alice tries to spend the coin again, she will have to respond to another challenge and thus reveal another point, say (c1, y1). From these two points both Alice and her secret key will be unmasked.

In Stefan Brands' system of digital cash, the Schnorr identification protocol is used twice. When an customer withdraws a coin from the bank, the bank binds the user's identity to the coin, but sends along some additional information that allows the customer to blind the signed coin as seen by the bank. The customer then challenges the bank to prove knowledge of its secret key. This challenge-and-response verifies that the bank has provided a valid signature on the coin and that the additional information needed for the blinding is valid. Hence there will be a valid bank signature on the blinded coin. Then when the customer spends the blinded coin, the merchant challenges the customer to provide knowledge of his secret key. The merchant records the challenge and response, and turns this in to the bank as part of the coin deposit protocol. If the bank receives the same coin twice, the challenge and response will reveal the customer's identity if the customer was responsible for double-spending. If the merchant tries to deposit the same coin twice, time-stamping will reveal the merchant's responsibility.

Brands' system also allows for an observer. An observer is a tamper-resistant computer chip provided by the bank to the customer's smartcard or the customer's PC card (formerly called PCMCIA card). The observer represents the bank, and is used to prevent double-spending before it occurs. This is a quite useful feature in the digital cash world. The way it works is the bank embeds a secret key in the observer's fixed memory (ROM), which forms part of the challenge-and-response protocol. The protocol won't work without this secret key. Then, in addition, when a coin is withdrawn from the bank, the observer generates a second random number and stores it in non-volatile memory (EEPROM). This second number is erased when the coin is spent. If there is an attempt to spend the coin a second time, this second number is absent, and the observer locks up. In effect, there is a third Schnorr identification protocol that takes place between the customer and the observer.

What happens if some clever thief cracks the observer in his laboratory? The answer is the thief can then double-spend, but doing so will reveal his identity, just as before. Remove the numbers kept by the observer, or set them equal to zero, and the system operates exactly as before, without the observer.

Are there currently any commercial providers of anonymous digital cash? Essentially not. DigiCash, the company of so-called privacy advocate David Chaum, has a system which it calls "ecash". DigiCash press releases boast that while "paper notes, briefcases full of which can be passed from hand to hand without leaving any record, allow money laundering and tax evasion today", "with ecash, however, all the amounts each person receives are known to their bank." There is no anonymity for the ecash recipient, only for the ecash payer. According to DigiCash, "criminals are typically busy collecting money, and are therefore hindered by the non-anonymity of ecash". This sounds like a suck-up to FinCEN, or an excuse for a flaw in the basic system.

As the DigiCash ecash system exists, transactions are untraceable, because coin deposits cannot be associated with previous withdrawals. But flows into an account (coin deposits), and flows out of an account (coin withdrawals) can be observed separately. This is not necessary for the secure operation of the system. All DigiCash needs to do to also provide payee anonymity is to issue new ecash coins for spent coins, rather than requiring that spent coins be deposited in a non-anonymous account. A transfer of old coins for new should not require any customer identification, but only verification that the old coins were not spent more than once. There is no necessary reason for the bank to know the identity of the person turning in the spent coins, although the bank might rightly charge a small fee for the exchange service.

Thus, in addition to the normal withdrawal protocol, where the customer withdraws blinded coins from a non-anonymous account, there should be a coin-exchange protocol, allowing for the direct anonymous exchange of old coins for new. If anonymous exchanges of old coins for new could be made also, then only the net change for any bank customer would be observable by the bank. If a bank customer spent about as much ecash as he received, there would be no bank record of the flow. It would be hard for the bank to distinguish between an ecash "launderer" and a merchant who simply had a lot of sales-related receipts and expenses. There would indeed be privacy.

## References

American National Standards Institute, American National Standard X9.31-1992: Public Key Cryptography Using Reversible Algorithms for the Financial Services Industry: Part 1: The RSA Algorithm, March 1993.

Brands, Stefan, "Untraceable Off-line Cash in Wallets with Observers," Advances in Cryptology — Crypto`93, Santa Barbara, August 1993 (1993b).

DigiCash, "DigiCash's Ecash to be Issued by Deutsche Bank," press release, May 7, 1996.

ElGammal, T., "A Public Key Cryptosystem and a Signature Scheme Based on Discrete Logarithms," IEEE Transactions on Information Theory, 31, 1985.

Federal Information Processing Standards Publication (FIPS PUB) 186, Digital Signature Standard, May 1994.

Grabbe, J. Orlin, Anonymous Digital Cash in Theory and Practice, 1997.

LaMacchia, B.A and A. M. Odlyzko, "Computation of Discrete Logarithms in Prime Fields," Designs, Codes, and Cryptography, vol. 1, 1991.

Schnorr, C.P., "Efficient Signature Generation for Smart Cards", Journal of Cryptology, vol. 4 no. 3, 1991.

Orlin Grabbe's web page: orlingrabbe.com By him: A Brief Guide to Digital Cash Articles on My Webpage

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