Elliptic Curve Random Number Generation
20230083997 · 2023-03-16
Assignee
Inventors
Cpc classification
H04L9/3066
ELECTRICITY
H04L2209/26
ELECTRICITY
H04L2209/20
ELECTRICITY
H04L9/0816
ELECTRICITY
G06F7/588
PHYSICS
H04L9/0894
ELECTRICITY
H04L2209/24
ELECTRICITY
International classification
H04L9/08
ELECTRICITY
H04L9/06
ELECTRICITY
Abstract
An elliptic curve random number generator avoids escrow keys by choosing a point Q on the elliptic curve as verifiably random. An arbitrary string is chosen and a hash of that string computed. The hash is then converted to a field element of the desired field, the field element regarded as the x-coordinate of a point Q on the elliptic curve and the x-coordinate is tested for validity on the desired elliptic curve. If valid, the x-coordinate is decompressed to the point Q, wherein the choice of which is the two points is also derived from the hash value. Intentional use of escrow keys can provide for back up functionality. The relationship between P and Q is used as an escrow key and stored by for a security domain. The administrator logs the output of the generator to reconstruct the random number with the escrow key.
Claims
1-18. (canceled)
19. A computer-implemented method of establishing an escrow key for a security domain within a network, comprising: establishing a pair of points (P, Q) as respective inputs to an elliptic curve random number generator (ECRNG), wherein P=eQ, and e is a relationship between the pair of points (P, Q); generating from the ECRNG a random number for use in cryptographic operations within the security domain; using the random number in a cryptographic operation; and logging an output of the ECRNG to reconstruct the random number with the relationship e as an escrow key.
20. The computer-implemented method of claim 19, wherein the pair of points (P, Q) is a pair of elliptic curve points.
21. The computer-implemented method of claim 19, wherein one point of the pair of points (P, Q) is obtained from an output of a one way function.
22. The computer-implemented method of claim 21, wherein the one way function is a hash function.
23. The computer-implemented method of claim 21, wherein the other point of the pair of points (P, Q) is utilized as an input to the one way function.
24. The computer-implemented method of claim 23, wherein the one point of the pair of points (P, Q) is Q, and the other point of the pair of points (P, Q) is P.
25. A device, comprising: a memory; and at least one processor communicatively coupled with the memory and configured to: establish a pair of points (P, Q) as respective inputs to an elliptic curve random number generator (ECRNG), wherein P=eQ, and e is a relationship between the pair of points (P, Q); generate from the ECRNG a random number for use in cryptographic operations within a security domain; using the random number in a cryptographic operation; and logging an output of the ECRNG to reconstruct the random number with the relationship e as an escrow key.
26. The device of claim 25, wherein the pair of points (P, Q) is a pair of elliptic curve points.
27. The device of claim 25, wherein one point of the pair of points (P, Q) is obtained from an output of a one way function.
28. The device of claim 27, wherein the one way function is a hash function.
29. The device of claim 27, wherein the other point of the pair of points (P, Q) is utilized as an input to the one way function.
30. The device of claim 29, wherein the one point of the pair of points (P, Q) is Q, and the other point of the pair of points (P, Q) is P.
31. A non-transitory computer readable medium storing instructions which, when executed, cause a computing device to perform operations comprising: establishing a pair of points (P, Q) as respective inputs to an elliptic curve random number generator (ECRNG), wherein P=eQ, and e is a relationship between the pair of points (P, Q); generating from the ECRNG a random number for use in cryptographic operations within a security domain; using the random number in a cryptographic operation; and logging an output of the ECRNG to reconstruct the random number with the relationship e as an escrow key.
32. The non-transitory computer readable medium of claim 31, wherein the pair of points (P, Q) is a pair of elliptic curve points.
33. The non-transitory computer readable medium of claim 31, wherein one point of the pair of points (P, Q) is obtained from an output of a one way function.
34. The non-transitory computer readable medium of claim 33, wherein the one way function is a hash function.
35. The non-transitory computer readable medium of claim 33, wherein the other point of the pair of points (P, Q) is utilized as an input to the one way function.
36. The non-transitory computer readable medium of claim 35, wherein the one point of the pair of points (P, Q) is Q, and the other point of the pair of points (P, Q) is P.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0019] An embodiment of the invention will now be described by way of example only with reference to the appended drawings wherein:
[0020]
[0021]
[0022]
[0023]
[0024]
[0025]
[0026]
[0027]
[0028]
DETAILED DESCRIPTION OF THE INVENTION
[0029] Referring therefore to
[0030] This input 16 representing the point P is in a first embodiment, selected from a known value published as suitable for such use.
[0031] The input 18 is obtained from the output of a one way function in the form of a hash function 24 typically a cryptographically secure hash function such as SHA1 or SHA2 that receives as inputs the point P. The function 24 operates upon an arbitrary bit string A to produce a hashed output 26. The output 26 is applied to arithmetic unit 12 for further processing to provide the input Q.
[0032] In operation, the ECRNG receives a bit string as a seed, which is stored in the register 14. The seed is maintained secret and is selected to meet pre-established cryptographic criteria, such as randomness and Hamming weight, the criteria being chosen to suit the particular application.
[0033] In order to ensure that d is not likely to be known (e.g. such that P=dQ, and ed=1 mod n); one or both of the inputs 16, 18 is chosen so as to be verifiably random. In the embodiment of
[0034] The points P and Q are applied at respective inputs 16, 18 and the arithmetic unit 12 computes the point sQ where s is the current value stored in the register 14. The arithmetic unit 12 converts the x-coordinate of the point (in this example point sQ) to an integer and truncates the value to obtain r=t(z(sQ)). The truncated value r is provided to the output 20.
[0035] The arithmetic unit 12 similarly computes a value to update the register 14 by computing sP, where s is the value of the register 14, and converting the x-coordinate of the point sP to an integer u. The integer u is stored in the register to replace s for the next iteration.
{Ditto Above}
[0036] As noted above, the point P may also be verifiably random, but may also be an established or fixed value. Therefore, the embodiment of
[0037] In general, inclusion of the point P in the input to the hash function ensures that P was determined before Q is determined, by virtue of the one-way property of the hash function and since Q is derived from an already determined P. Because P was determined before Q, it is clearly understood that P could not have been chosen as a multiple of Q (e.g. where P=eQ), and therefore finding d is generally as hard as solving a random case of the discrete logarithm problem.
[0038] Thus, having a seed value S provided and a hash-based function FO provided, a verifier can determine that Q=F(S,P), where P may or may not be verifiably random. Similarly, one could compute P=F(S,Q) with the same effect, though it is presumed that this is not necessary given that the value of P in the early drafts of X9.82 were identical to the base points specified in FIPS 186-2.
[0039] The generation of Q from a bit string as outlined above may be performed externally of the ECRNG 10, or, preferably, internally using the arithmetic unit 12. Where both P and Q are required to be verifiably random, a second hash function 24 shown in ghosted outline in
[0040] It will also be noted that the output generated is derived from the x coordinate of the point sP. Accordingly, the inputs 16, 18 may be the x coordinates of P and Q and the corresponding values of sP and sQ obtained by using Montgomery multiplication techniques thereby obviating the need for recovery of the y coordinates.
[0041] An alternative method for choosing Q is to choose Q in some canonical form, such that its bit representation contains some string that would be difficult to produce by generating Q=dP for some known d and P for example a representation of a name. It will be appreciated that intermediate forms between this method and the preferred method may also exist, where Q is partly canonical and partly derived verifiably at random. Such selection of Q, whether verifiably random, canonical, or some intermediate, can be called verifiable.
[0042] Another alternative method for preventing a key escrow attack on the output of an ECRNG, shown in
[0043] Yet another alternative method shown in
[0044] As discussed above, to effectively prevent the existence of escrow keys, a verifiably random Q should be accompanied with either a verifiably random P or a pre-established P. A pre-established P may be a point P that has been widely publicized and accepted to have been selected before the notion of the ECRNG 12, which consequently means that P could not have been chosen as P=eQ because Q was not created at the time when P was established.
[0045] Whilst the above techniques ensure the security of the system using the ECRNG by “closing” the trap door, it is also possible to take advantage of the possible interdependence of P and Q, namely where P=eQ, through careful use of the existence of e.
[0046] In such a scenario, the value e may be regarded as an escrow key. If P and Q are established in a security domain controlled by an administrator, and the entity who generates Q for the domain does so with knowledge of a (or indirectly via knowledge of d). The administrator will have an escrow key for every ECRNG that follows that standard.
[0047] Escrow keys are known to have advantages in some contexts. They can provide a backup functionality. If a cryptographic key is lost, then data encrypted under that key is also lost. However, encryption keys are generally the output of random number generators. Therefore, if the ECRNG is used to generate the encryption key K, then it may be possible that the escrow key e can be used to recover the encryption key K. Escrow keys can provide other functionality, such as for use in a wiretap. In this case, trusted law enforcement agents may need to decrypt encrypted traffic of criminals, and to do this they may want to be able to use an escrow key to recover an encryption key.
[0048]
[0049] ) The administrator 44 chooses the values of P and Q such that he knows an escrow key e such that Q=eP. Other members of the domain 40 use the values of P and Q, thereby giving the administrator 44 an escrow key e that works for all the members of the organization.
[0050] This is most useful in its backup functionality for protecting against the loss of encryption keys. Escrow keys e could also be made member-specific so that each member has its own escrow e′ from points selected by the administrator 44.
[0051] As generally denoted as numeral 400 in
[0052] The secure use of such an escrow key 34e is generally denoted by numeral 500 and illustrated in
[0053] In order for the escrow key to function with full effectiveness, the escrow administrator 44 needs direct access to an ECRNG output value r that was generated before the ECRNG output value k (i.e. 16) which is to be recovered. It is not sufficient to have indirect access to r via a one-way function or an encryption algorithm. A formalized way to achieve this is to have each member with an ECRNG 12 communicate with the administrator 44 as indicated at 46 in
[0054] Many other protocols exchange such random values, often called nonces. If the escrow administrator observes these nonces, and keeps a log of them 508, then later it may be able to determine the necessary r value. This allows the administrator to determine the subsequent state of the ECRNG 12 of the client or server 510 (whoever is a member of the domain), and thereby recover the subsequent ECRNG 12 values. In particular, for the client who generally generates a random pre-master secret from which is derived the encryption key for the SSL or TLS session, the escrow key may allow recovery of the session key. Recovery of the session key allows recovery of the whole SSL or TLS session.
[0055] If the session was logged, then it may be recovered. This does not compromise long-term private keys, just session keys obtained from the output of the ECRNG, which should alleviate any concern regarding general suspicions related to escrows.
[0056] Whilst escrow keys are also known to have disadvantages in other contexts, their control within specific security domains may alleviate some of those concerns. For example, with digital signatures for non-repudiation, it is crucial that nobody but the signer has the signing key, otherwise the signer may legitimately argue the repudiation of signatures. The existence of escrow keys means the some other entity has access to the signing key, which enables signers to argue that the escrow key was used to obtain their signing key and subsequently generate their signatures. However, where the domain is limited to a particular organisation or part of an organisation it may be sufficient that the organisation cannot repudiate the signature. Lost signing keys do not imply lost data, unlike encryption keys, so there is little need to backup signing keys.
[0057] Although the invention has been described with reference to certain specific embodiments, various modifications thereof will be apparent to those skilled in the art without departing from the spirit and scope of the invention as outlined in the claims appended hereto.