Data stream/substitution enciphering

Method for data decorrelation

6553120

Abstract

Method for the cryptography of data recorded on a medium usable by a computing unit in which the computing unit processes an input information x using a key for supplying an information F(x) encoded by a function F. The function uses a decorrelation module M.sub.k such that F(x)=[F'(M.sub.k)](x), in which K is a random key and F' a cryptographic function. This Abstract is neither intended to define the invention disclosed in this specification nor intended to limit, in any manner, the scope of the invention.


Claims

What is claimed is:

1. Method for cryptography of data stored on a medium exploitable by a computing unit in which said computing unit processes an input information x by way of a key K to provide information F(x) encoded by a function F,

wherein the function F uses a decorrelation module M.sub.k, of rank at least equal to two, to transform the input information such that a distribution obtained with a random variation of the key K is one of uniform and quasi uniform, and such that F(x)=[F'(M.sub.k)](x), where F' is a cryptographic function.

2. The method according to claim 1, wherein the input information x is divided into elements x.sub.0 of fixed length.

3. The method according to claim 1, wherein the function F is of the form F(x)=F'(M.sub.K (x)).

4. The method according to claim 1, wherein the function F' is divided into two functions F" and G" and in that

F(x)=F"(M.sub.K (G"(x))).

5. The method according to claim 1, wherein the decorrelation module M.sub.K is inversible.

6. The method according to claim 5, wherein the decorrelation module is M.sub.K (x)=ax+b, where K=(a, b) with a.noteq.0.

7. The method according to claim 5, wherein the decorrelation module is M.sub.K (x)=a/(x+b)+c, where K=(a, b, c) with a.noteq.0.

8. The method according to claim 1, wherein the decorrelation module M.sub.K is non-inversible.

9. The method according to claim 5, wherein the function F is a Feistel function applying n iterations each with a function F.sub.i.

10. The method according to claim 9, wherein, at each iteration, F.sub.i (x)=F'.sub.i (M.sub.K (x)).

11. The method according to claim 9, wherein the function F' is divided into two functions F" and G" and, at each iteration, F.sub.i (x)=F".sub.i (M.sub.K (G".sub.i (x))).

12. The method according to claim 11, wherein M.sub.K (x)=k.sub.1 +k.sub.2 x+k.sub.3 x.sup.2 + . . . +k.sub.t x.sup.t-1, where K=(k.sub.1, k.sub.2, k.sub.3 . . . ,k.sub.i).


Description

BACKGROUND OF THE INVENTION

1. Field of the Invention

This invention relates to a method for decorrelating data recorded on a medium exploitable by a processing unit.

2. Description of Background and Relevant Information

There are many known methods of data encryption or cryptography. They serve to encode data such that the latter can be read only by an authorised recipient who possesses a key. Their importance is developing simultaneously with information networks and their use can be expected to become widespread in accordance with legislation in force.

Some encryption methods can provide unconditional security, but call upon heavy technical means which slow down communications or make the key exchange management very costly, while others cannot even be used practically.

For instance, to encrypt a flow of clear messages, the Vernam encryption method requires a flow of keys of the same length. Synchronisation between the sender and receiver then becomes difficult to achieve.

The conditions for unconditional security were formalised in 1949 by Shannon, who was able to demonstrate on the basis of information theory that unconditional security requires that the key must be at least equal to the total size of the messages that can be encrypted without corruption.

Thus, an encryption operation is carried out to ensure the protection of data recorded on a medium exploitable by a processing unit and liable to be transmitted. For the encryption of a series of messages to be secure, it is necessary to make these operations independent over a small number of messages.

The main encryption function used at present is the digital data encryption standard (DES) adopted by the U.S. government. This function is based on the (sixteen-fold) iteration of simple functions following the so-called "Feistel" scheme. The purpose of the large number of iterations is to weaken the correlation between the encrypted messages.

The DES is described in many documents and in particular the publication entitled "Encryption, Theory and Practice" by Douglas STINSON (International Thomson Publishing).

To improve the reliability of encryption and to safeguard against exhaustive searches, it has been proposed to increase the length of the key, or even to introduce a decorrelation of order 1. This is what has been submitted by the authors of the following two articles: Advances in Cryptology--CRYPTO '96, 16.sup.th Annual International Cryptology Conference, Santa Barbara, Aug. 18-22, 1996, Proceedings no. Conf. 16, Aug. 18, 1996, Koblitz N (ED), pages 252-267 by KILIAN J. et al., and Advances in Cryptology--ASIACRYPT, Fujiyoshida, Nov. 11-14, 1991, no. Conf. 1, Nov. 11, 1991, Hideki Imai; Rivest R L; Tsutomu Matsumoto, pages 210-224 by EVEM S. et al.

However, such measures are not sufficient to protect against attacks made possible by the recently-developed linear and differential cryptanalysis techniques.

SUMMARY OF THE INVENTION

The object of the invention is thus to provide a data encryption method which provides optimal security and which can be implemented with relatively simple functions only requiring modest calculation resources.

To this end, the invention relates to a method for the cryptography of data stored on a medium exploitable by a computing unit in which the computing unit processes an input information x by means of a key to provide information F(x) encoded by a function F.

According to the invention, the function F uses a decorrelation module M.sub.K, of rank at least equal to two, such that F(x)=[F'(M.sub.K)](x), where K is a random key and F' is a cryptographic function.

Generally speaking, a decorrelation module serves to transform a message x by the function M.sub.K involving a key, such that the distribution M.sub.K (x.sub.1), . . . , M.sub.K (x.sub.t) obtained from any t different messages with a random variation of the key has a uniform or quasi uniform distribution.

Such a decorrelation module can thus be employed within a data encryption device, possibly after an information dividing device which supplies fixed length data x.sub.0 in response to the input information x.

The invention can be implemented so that t blocks of messages c.sub.1, . . . , c.sub.1 coded by the function F do not give any statistical information on that function.

In different embodiments each having particular advantages, the invention has the following features according to any technically feasible combinations thereof:

the input information x is divided up into elements x.sub.0 of fixed length,

the function F is of the form F(x)=F'(M.sub.K (x)),

the coding function F' is divided up into two functions F" and G" and

F(x)=F"(M.sub.K (G"(x))),

the decorrelation module M.sub.K is inversible,

the decorrelation module is M.sub.K (x)=ax+b, where K=(a, b) with a.noteq.0,

the decorrelation module is M.sub.K (x)=a/(x+b)+c, where K=(a, b, c) with a.noteq.0,

the function F is a Feistel function applying n iterations each with a function Fi,

the decorrelation module M.sub.K is non-inversible,

at each iteration, F.sub.i (x)=F'.sub.i (M.sub.K (x)),

at each iteration, F.sub.i (x)=F".sub.i (M.sub.K (G".sub.i (x))),

M.sub.K (x)=k.sub.1 +k.sub.2 x+k.sub.3 x.sup.2 + . . . +k.sub.t x.sup.t-1,

where K=(k.sub.1, k.sub.2, k.sub.3, . . . , k.sub.t).

BRIEF DESCRIPTION OF THE DRAWINGS

The invention shall now be described in more detail with reference to the figure and the specific embodiments.

FIG. 1 shows the invention applied in a Feistel scheme with eight iterations.

DETAILED DESCRIPTION OF THE INVENTION

Advantageously, the inventive method for encrypting recorded data implements a secret key using a decorrelation module M.sub.K such that F(x)=[F'(M.sub.K)](x), where K is a random key and F' a coding function.

The function F' is advantageously divided up into two functions F" and G", and F(x)=F"(M.sub.K (G"(x))).

The use of such decorrelation modules is applicable to inversible functions F and also to any function F.

When the function F is inversible, the cryptographic method is an encryption method; the holder of the key can then reconstitute the inputted information. When the function F is not inversible, the cryptographic method allows the authentication of data.

Thus, for a parameter value t=2, the function M.sub.K is advantageously:

M.sub.K (x)=ax+b

Where K=(a, b) with a.noteq.0, and where the sign + represents a translation of the message space.

The decorrelation is then perfect at order 2. The inverse operation is:

(M.sub.K).sup.-1 (y)=a.sup.-1 y-a.sup.-1 b

In another embodiment for a parameter value t=3, the function M.sub.K is advantageously:

M.sub.K (x)=a/(x+b)+c,

Where K=(a, b, c) with a.noteq.0. In this operation, it is taken that 1/0=0. The inverse operation is then:

(M.sub.K).sup.-1 (y)=a/(y-c)-b

The use of a decorrelation module M.sub.K is equally advantageous in the case of non-inversible functions.

We use an algebraic structure such as messages which define addition and multiplication. For example, we use the arithmetic in a finite body or a truncated modulo arithmetic in a prime number.

For all parameter values t, we can then propose a decorrelation function having the form M.sub.K (x)=k.sub.1 +k.sub.2 x+k.sub.3 x.sup.2 + . . . +k.sub.t x.sup.t-1, where K=(k.sub.1, k.sub.2, k.sub.3, . . . k.sub.t).

The scheme for such a Feistel encryption is shown in FIG. 1.

A block of clear text x having 64 bits: we then set x=L.sub.0 R.sub.0 where L.sub.0 contains the first 32 bits of the string x and R.sub.0 contains the remaining 32 bits.

Four iterations of a same function f are applied to x. We calculate L.sub.i R.sub.i, for 1.ltoreq.i.ltoreq.4, following the rule:

L.sub.i =R.sub.i-1

R.sub.i =L.sub.i-1 +f(R.sub.i-1 +K.sub.i)

Where the + sign represents a bit-by-bit exclusive OR of two strings; K.sub.1, K.sub.2, K.sub.3, K.sub.4 are 32-bit strings calculated from K.

The result is (L.sub.4, R.sub.4). It is assembled in the form L.sub.4 R.sub.4 to which we apply the decorrelation module, for example:

K.sub.5 K.sub.6.times.L.sub.4 R.sub.4 +K.sub.7 K.sub.8

K.sub.5, K.sub.6, K.sub.7, K.sub.8 each being a 32-bit string.

The result serves as input L'.sub.0 R'.sub.0 for a second function according to the Feistel scheme, analogous to the preceding one that produces a result L'.sub.4 R'.sub.4 =F(x).

K'.sub.1, K'.sub.2, K'.sub.3, K'.sub.4 are also 32-bit strings.

The key here is K.sub.1, K.sub.2, K.sub.3, K.sub.4, K'.sub.1, K'.sub.2, K'.sub.3, K'.sub.4, K.sub.5, K.sub.6, K.sub.7, K.sub.8.

Generally speaking, the functions F" and G" can be any encryption function.

Two specific embodiments shall now be described in detail:

In the first of these preferred embodiments, a Feistel scheme with eight iterations is used. G" is the successive application of four functions f.sub.1, f.sub.2, f.sub.3, f.sub.4, and F" is the successive application of four functions f.sub.5, f.sub.6, f.sub.7, f.sub.8, the functions f.sub.1 being defined from a function f and from the random key K.

The function f is itself defined in the following way:

If x is a 32-bit word, we first define .phi.(x):

.phi.(x)=x+256.S(xmod256)mod2.sup.32

where S is e.g. a function represented by the tables in appendix 1, with u represented in the abscissa and v in the ordinate each being hexadecimal numbers, we associate with the pair (u, v) x the value S(x) having the value indicated at the co-ordinates (u, v).

f(x) is defined by:

f(x)=.phi.(R.sup.11.sub.L (.phi.(x))+r mod 2.sup.32)

where R.sup.11.sub.L is a circular permutation of eleven bits to the left and r is a constant, e.g. itself defined by s as follows: ##EQU1##

The key K is a 256-bit string formed by linking together eight strings K.sub.i each of 64 bits: K=(K.sub.1 K.sub.2 K.sub.3 . . . K.sub.8).

The Feistel scheme is then implemented with the functions f.sub.i :

f.sub.i (x)=f(.sym.k.sub.i)

Where the ki are then defined as follows:

        i      1          2               3              4
    k.sub.i   K1  K.sub.1 .sym. K.sub.3  K.sub.1 .sym. K.sub.3 .sym. K.sub.4
     K.sub.1 .sym. K.sub.4
        i      5          6               7              8
    k.sub.i   K2  K.sub.2 .sym. K.sub.3  K.sub.2 .sym. K.sub.3 .sym. K.sub.4
     K.sub.2 .sym. K.sub.4


the decorrelation module is:

M(uv)=(uv.sym.K.sub.5 K.sub.6).times.K.sub.7 K.sub.8

In the second of these preferred embodiments, we use a Feistel scheme with thirty two iterations:

Compared with the first example, the key K is a 2048-bit string, r can keep its value and the function f is replaced by f':

f'(x)=R.sup.11.sub.L (x)+r mod2.sup.32

The functions f.sub.i are replaced by the functions f'.sub.i :

f'.sub.i (x)=f'(x.K.sub.2i+1 +K.sub.2i mod2.sup.32 -5).

APPENDIX 1

                                     TABLE 1
                              S(u, v) for v < 8
          .0        .1      .2        .3      .4        .5      .6        .7
    0.    8aed2a    6abf71  58809c    f4f3c7  62e716    0f38b4  da56a7
     84d904
    1.    bb1185    eb4f7c  7b5757    f59584  90cfd4    7d7c19  bb4215
     8d9554
    2.    cfbfa1    c877c5  6284da    b79cd4  c2b329    3d20e9  e5eaf0
     2ac60a
    3.    78e537    d2b95b  b79d8d    caec64  2c1e9f    23b829  b5c278
     0bf387
    4.    bbca06    0f0ff8  ec6d31    beb5cc  eed7f2    f0bb08  801716
     3bc60d
    5.    94640d    6ef0d3  d37be6    7008e1  86d1bf    275b9b  241deb
     64749a
    6.    f10de5    13d3f5  114b8b    5d374d  93cb88    79c7d5  2ffd72
     ba0aae
    7.    571121    382af3  41afe9    4f77bc  f06c83    b8ff56  75f097
     9074ad
    8.    5a7db4    61dd8f  3c7554    0d0012  1fd56e    95f8c7  31e9c4
     d7221b
    9.    c6b400    e024a6  668ccf    2e2de8  6876e4    f5c500  00f0a9
     3b3aa7
    a.    d1060b    871a28  01f978    376408  2ff592    d9140d  b1e939
     9df4b0
    b.    c703f5    32ce3a  30cd31    c070eb  36b419    5ff33f  b1c66c
     7d70f9
    c.    6d8d03    62803b  c248d4    14478c  2afb07    ffe78e  89b9fe
     ca7e30
    d.    df2be6    4bbaab  008ca8    a06fda  ce9ce7    048984  5a082b
     a36d61
    e.    558aa1    194177  20b6e1    50ce2b  927d48    d7256e  445e33
     3cb757
    f.    6b6c79    a58a9a  549b50    c58706  90755c    35e4e3  6b5290
     38ca73


TABLE 2 S(u, v) for v .gtoreq. 8 .8 .9 .a .b .c .d .e .f 0. 5190cf ef324e 773892 6cfbe5 f4bf8d 8d8c31 d763da 06c80a 1. f7b46b ced55c 4d79fd 5f24d6 613c31 c3839a 2ddf8a 9a276b 2. cc93ed 874422 a52ecb 238fee e5ab6a dd835f d1a075 3d0a8f 3. 37df8b b300d0 1334a0 d0bd86 45cbfa 73a616 0ffe39 3c48cb 4. f45a0e cb1bcd 289b06 cbbfea 21ad08 e1847f 3f7378 d56ced 5. 47dfdf b96632 c3eb06 1b6472 bbf84c 26144e 49c2d0 4c324e 6. 7277da 7ba1b4 af1488 d8e836 af1486 5e6c37 ab6876 fe690b 7. 9a787b c5b9bd 4b0c59 37d3ed e4c3a7 939621 5edab1 f57d0b 8. bed0c6 2bb5a8 7804b6 79a0ca a41d80 2a4604 c311b7 1de3e5 9. e6342b 302a0a 47373b 25f73e 3b26d5 69fe22 91ad36 d6a147 a. e14ca8 e88ee9 110b2b d4fa98 eed150 ca6dd8 932245 ef7592 b. 391810 7ce205 1fed33 f6d1de 9491c7 dea6a5 a442e1 54c8bb c. 60c08f 0d61f8 e36801 df66d1 d8f939 2e52ca ef0653 199479 d. 1e99f2 fbe724 246d18 b54e33 5cac0d d1ab9d fd7988 a4b0c4 e. 2b3bd0 0fb274 604318 9cac11 6cedc7 e771ae 0358ff 752a3a f. 3fd1aa a8dab4 0133d8 0320e0 790968 c76546 b993f6 c8ff3b