Yao's Millionaires' Problem
This article needs additional citations for verification. (January 2011) (Learn how and when to remove this template message)
Yao's Millionaires' problem is a secure multi-party computation problem which was introduced in 1982 by Andrew Yao, a prominent computer scientist and computational theorist. The problem discusses two millionaires, Alice and Bob, who are interested in knowing which of them is richer without revealing their actual wealth.
This problem is analogous to a more general problem where there are two numbers and and the goal is to solve the inequality without revealing the actual values of and .
The Millionaires' Problem is an important problem in cryptography, the solution of which is used in e-commerce and data mining. Commercial applications sometimes have to compare numbers which are confidential and whose security is important.
Many solutions have been introduced for the problem, among which the first solution, presented by Yao himself, was exponential in time and space. Herein we will survey several selected solutions.
Protocols and proof
Let be a binary string of length n.
Denote 0-encoding of s as and 1-encoding of s as
Then, the protocol is based on the following claim: Assume a and b are binary strings of length n-bits. Then, if the sets and have a common element (where here a and b are the binary encodings of the corresponding integers).
The protocol leverages this idea into a practical solution to Yao's Millionaires' problem by performing a private set intersection between and .
We will make use of a variant of oblivious transfer, called 1-2 oblivious transfer, in our protocol. In that transfer one bit is transferred in the following way: a sender has two bits and . The receiver chooses and the sender sends with the oblivious transfer protocol such that
- the receiver doesn't get any information about ,
- the value of is not exposed to the sender.
Now we will begin with the protocol description. We will indicate Alice's number as and Bob's number as and assume that the length of their binary representation is less than for some . The steps of the protocol are as follows.
- Alice creates a matrix of size of -bit numbers, where is the length of the key in the oblivious transfer protocol. In addition, she chooses two random numbers and where and .
- will be the -th bit of the number which appears in cell (where indicates the least significant bit). In addition, we denote as the -th bit of Alice's number . For every , Alice does the following actions.
- For every bit she sets and to random bits.
- If let otherwise let and for every set to a random bit.
- For set and to .
- For every , will be a random -bit number and will be another number of bits where all bits except the last two are random and the last two are calculated as and , where is the bitwise XOR operation.
- For set . Where indicates the bitwise rotation of to the left by bits.
- For every , Bob transfers with the oblivious transfer protocol where and is the -th bit of .
- Alice sends to Bob .
- Bob calculates the bitwise XOR of all the numbers he got in step 3 and from step 4. Bob scans the result from left to right until he finds a large sequence of zero bits. Let be the bit to the right of that sequence ( is non zero). If the bit to the right of equals 1 then . otherwise .
Bob calculates the final result from and the result depends on . K and therefore c as well, can be split into 3 parts. The left part doesn't affect the result. The right part has all the important information and in the middle there is a sequence of zeros what separate those two parts. The length of each partition of c is linked to the security scheme.
For every i, only one of has non zero right part and it is if and otherwise. In addition, if and has a non zero right part then has also a non zero right part and the two leftmost bits of this right part will be the same as the one of . As a result, the right part of c is a function of the entries Bob transferred correspond to the unique bits in a and b and the only bits in the right part in c which are not random are the two leftmost, Exactly the bits which determines the result of where i is the highest order bit in which a and b differ. In the end, if then those two leftmost bits will be 11 and Bob will answer that . If the bits are 10 then and he will answer a<b. If a=b then there will be no right part in c and in this case the two leftmost bits in c will be 11 and will indicate the result.
The information Bob sends to Alice is secure because it is sent through oblivious transfer which is secure.
Bob gets 3 numbers from Alice,
- for every Bob receives one such number and is random so no secure information is transformed,
- N, This is an XOR of random numbers and therefore reveals no information. The relevant information is revealed only after calculating c and,
- c, The same goes for c. The left part of c is random and the right part is random as well except from the two leftmost bits. Deducing any information from those bits requires guessing some other values and the chance of guessing them correct is very low.
The complexity of the protocol is . Alice constructs d length number for each bit of a and Bob calculates XOR d times of d length numbers. The complexity of those operations is . The communication part takes also . Therefore, the complexity of the protocol is
- Secure multi-party computation
- Socialist millionaire, a variant in which the millionaires wish to determine whether their fortunes are equal.
- Yao, Andrew C. (November 1982). "Protocols for secure computations". FOCS. 23rd Annual Symposium on Foundations of Computer Science (FOCS 1982): 160–164. doi:10.1109/SFCS.1982.88.
- Lin, Hsiao-Ying; Tzeng, Wen-Guey (2005-06-07). An Efficient Solution to the Millionaires' Problem Based on Homomorphic Encryption. Applied Cryptography and Network Security. Lecture Notes in Computer Science. 3531. pp. 456–466. CiteSeerX 10.1.1.75.4917. doi:10.1007/11496137_31. ISBN 978-3-540-26223-7.
- Ioannidis, I.; Grama, A. (2003). An efficient protocol for Yao's millionaires' problem. 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the. IEEE. CiteSeerX 10.1.1.110.8816. doi:10.1109/hicss.2003.1174464. ISBN 978-0769518749.