Jump to content


From Wikipedia, the free encyclopedia

In cryptography, XTR is an algorithm for public-key encryption. XTR stands for 'ECSTR', which is an abbreviation for Efficient and Compact Subgroup Trace Representation. It is a method to represent elements of a subgroup of a multiplicative group of a finite field. To do so, it uses the trace over to represent elements of a subgroup of .

From a security point of view, XTR relies on the difficulty of solving Discrete Logarithm related problems in the full multiplicative group of a finite field. Unlike many cryptographic protocols that are based on the generator of the full multiplicative group of a finite field, XTR uses the generator of a relatively small subgroup of some prime order of a subgroup of . With the right choice of , computing Discrete Logarithms in the group, generated by , is, in general, as hard as it is in and thus cryptographic applications of XTR use arithmetics while achieving full security leading to substantial savings both in communication and computational overhead without compromising security. Some other advantages of XTR are its fast key generation, small key sizes and speed.

Fundamentals of XTR[edit]

XTR uses a subgroup, commonly referred to as XTR subgroup or just XTR group, of a subgroup called XTR supergroup, of the multiplicative group of a finite field with elements. The XTR supergroup is of order , where p is a prime such that a sufficiently large prime q divides . The XTR subgroup has now order q and is, as a subgroup of , a cyclic group with generator g. The following three paragraphs will describe how elements of the XTR supergroup can be represented using an element of instead of an element of and how arithmetic operations take place in instead of in .

Arithmetic operations in [edit]

Let p be a prime such that p ≡ 2 mod 3 and p2 - p + 1 has a sufficiently large prime factor q. Since p2 ≡ 1 mod 3 we see that p generates and thus the third cyclotomic polynomial is irreducible over . It follows that the roots and form an optimal normal basis for over and

Considering that p2 mod 3 we can reduce the exponents modulo 3 to get

The cost of arithmetic operations is now given in the following Lemma labeled Lemma 2.21 in "An overview of the XTR public key system":[1]


  • Computing xp is done without using multiplication
  • Computing x2 takes two multiplications in
  • Computing xy takes three multiplications in
  • Computing xz-yzp takes four multiplications in .

Traces over [edit]

The trace in XTR is always considered over . In other words, the conjugates of over are and and the trace of is their sum:

Note that since

Consider now the generator of the XTR subgroup of a prime order . Remember that is a subgroup of the XTR supergroup of order , so . In the following section we will see how to choose and , but for now it is sufficient to assume that . To compute the trace of note that modulo we have


and thus

The product of the conjugates of equals , i.e., that has norm 1.

The crucial observation in XTR is that the minimal polynomial of over

simplifies to

which is fully determined by . Consequently, conjugates of , as roots of the minimal polynomial of over , are completely determined by the trace of . The same is true for any power of : conjugates of are roots of polynomial

and this polynomial is completely determined by .

The idea behind using traces is to replace in cryptographic protocols, e.g. the Diffie–Hellman key exchange by and thus obtaining a factor of 3 reduction in representation size. This is, however, only useful if there is a quick way to obtain given . The next paragraph gives an algorithm for the efficient computation of . In addition, computing given turns out to be quicker than computing given .[1]

Algorithm for the quick computation of given [edit]

A. Lenstra and E. Verheul give this algorithm in their paper titled The XTR public key system in.[2] All the definitions and lemmas necessary for the algorithm and the algorithm itself presented here, are taken from that paper.

Definition For c in define

Definition Let denote the, not necessarily distinct, roots of in and let be in . Define

Properties of and

  1. Either all have order dividing and or all are in . In particular, is irreducible if and only if its roots have order diving and .
  2. is reducible over if and only if

Lemma Let be given.

  1. Computing takes two multiplication in .
  2. Computing takes four multiplication in .
  3. Computing takes four multiplication in .
  4. Computing takes four multiplication in .

Definition Let .

Algorithm 1 for computation of given and

  • If apply this algorithm to and , and apply Property 2 to the resulting value.
  • If , then .
  • If , then .
  • If , use the computation of and to find and thereby .
  • If , to compute define
and if n is odd and otherwise. Let and compute using the Lemma above and . Let further
with and . For in succession, do the following:
  • If , use to compute .
  • If , use to compute .
  • Replace by .

When these iterations finish, and . If n is even use to compute .

Parameter selection[edit]

Finite field and subgroup size selection[edit]

In order to take advantage of the above described representations of elements with their traces and furthermore ensure sufficient security, that will be discussed below, we need to find primes and , where denotes the characteristic of the field with and is the size of the subgroup, such that divides .

We denote with and the sizes of and in bits. To achieve security comparable to 1024-bit RSA, we should choose about 1024, i.e. and can be around 160.

A first easy algorithm to compute such primes and is the next Algorithm A:

Algorithm A

  1. Find such that is a -bit prime.
  2. Find such that is a -bit prime with .
Correctness of Algorithm A:
It remains to check that because all the other necessary properties are obviously satisfied per definition of and . We easily see that which implies that .

Algorithm A is very fast and can be used to find primes that satisfy a degree-two polynomial with small coefficients. Such lead to fast arithmetic operations in . In particular if the search for is restricted to , which means looking for an such that both are prime and such that , the primes have this nice form. Note that in this case must be even and .

On the other hand, such may be undesirable from a security point of view because they may make an attack with the Discrete Logarithm variant of the Number Field Sieve easier.

The following Algorithm B doesn't have this disadvantage, but it also doesn't have the fast arithmetic modulo Algorithm A has in that case.

Algorithm B

  1. Select a -bit prime so that .
  2. Find the roots and of .
  3. Find a such that is a -bit prime with for
Correctness of Algorithm B:
Since we chose it follows immediately that (because and ). From that and quadratic reciprocity we can deduce that and exist.
To check that we consider again for and get that , since and are roots of and hence .

Subgroup selection[edit]

In the last paragraph we have chosen the sizes and of the finite field and the multiplicative subgroup of , now we have to find a subgroup of for some such that .

However, we do not need to find an explicit , it suffices to find an element such that for an element of order . But, given , a generator of the XTR (sub)group can be found by determining any root of which has been defined above. To find such a we can take a look at property 5 of here stating that the roots of have an order dividing if and only if is irreducible. After finding such we need to check if it really is of order , but first we focus on how to select such that is irreducible.

An initial approach is to select randomly which is justified by the next lemma.

Lemma: For a randomly selected the probability that is irreducible is about one third.

Now the basic algorithm to find a suitable is as follows:

Outline of the algorithm

  1. Pick a random .
  2. If is reducible, then return to Step 1.
  3. Use Algorithm 1 to compute .
  4. If is not of order , return to Step 1.
  5. Let .

It turns out that this algorithm indeed computes an element of that equals for some of order .

More details to the algorithm, its correctness, runtime and the proof of the Lemma can be found in "An overview of the XTR public key system" in.[1]

Cryptographic schemes[edit]

In this section it is explained how the concepts above using traces of elements can be applied to cryptography. In general, XTR can be used in any cryptosystem that relies on the (subgroup) Discrete Logarithm problem. Two important applications of XTR are the Diffie–Hellman key agreement and the ElGamal encryption. We will start first with Diffie–Hellman.

XTR-DH key agreement[edit]

We suppose that both Alice and Bob have access to the XTR public key data and intend to agree on a shared secret key . They can do this by using the following XTR version of the Diffie–Hellman key exchange:

  1. Alice picks randomly with , computes with Algorithm 1 and sends to Bob.
  2. Bob receives from Alice, selects at random with , applies Algorithm 1 to compute and sends to Alice.
  3. Alice receives from Bob, computes with Algorithm 1 and determines based on .
  4. Bob analogously applies Algorithm 1 to compute and also determines based on .

XTR ElGamal encryption[edit]

For the ElGamal encryption we suppose now that Alice is the owner of the XTR public key data and that she has selected a secret integer , computed and published the result. Given Alice's XTR public key data , Bob can encrypt a message , intended for Alice, using the following XTR version of the ElGamal encryption:

  1. Bob selects randomly a with and computes with Algorithm 1 .
  2. Bob next applies Algorithm 1 to compute .
  3. Bob determines a symmetric encryption key based on .
  4. Bob uses an agreed upon symmetric encryption method with key to encrypt his message , resulting in the encryption .
  5. Bob sends to Alice.

Upon receipt of , Alice decrypts the message in the following way:

  1. Alice computes .
  2. Alice determines the symmetric key based on .
  3. Alice uses the agreed upon symmetric encryption method with key to decrypt , resulting in the original message .

The here described encryption scheme is based on a common hybrid version of the ElGamal encryption, where the secret key is obtained by an asymmetric public key system and then the message is encrypted with a symmetric key encryption method Alice and Bob agreed to.

In the more traditional ElGamal encryption the message is restricted to the key space, which would here be , because . The encryption in this case is the multiplication of the message with the key, which is an invertible operation in the key space .

Concretely this means if Bob wants to encrypt a message , first he has to convert it into an element of and then compute the encrypted message as . Upon receipt of the encrypted message Alice can recover the original message by computing , where is the inverse of in .


In order to say something about the security properties of the above explained XTR encryption scheme, first it is important to check the security of the XTR group, which means how hard it is to solve the Discrete Logarithm problem there. The next part will then state the equivalency between the Discrete Logarithm problem in the XTR group and the XTR version of the discrete logarithm problem, using only the traces of elements.

Discrete logarithms in a general [edit]

Let now be a multiplicative group of order . The security of the Diffie–Hellman protocol in relies on the Diffie–Hellman (DH) problem of computing . We write . There are two other problems related to the DH problem. The first one is the Diffie–Hellman Decision (DHD) problem to determine if for given and the second one is the Discrete Logarithm (DL) problem to find for a given .

The DL problem is at least as difficult as the DH problem and it is generally assumed that if the DL problem in is intractable, then so are the other two.

Given the prime factorization of the DL problem in can be reduced to the DL problem in all subgroups of with prime order due to the Pohlig–Hellman algorithm. Hence can safely be assumed to be prime.

For a subgroup of prime order of the multiplicative group of an extension field of for some , there are now two possible ways to attack the system. One can either focus on the whole multiplicative group or on the subgroup. To attack the multiplicative group the best known method is the Discrete Logarithm variant of the Number Field Sieve or alternatively in the subgroup one can use one of several methods that take operations in , such as Pollard's rho method.

For both approaches the difficulty of the DL problem in depends on the size of the minimal surrounding subfield of and on the size of its prime order . If itself is the minimal surrounding subfield of and is sufficiently large, then the DL problem in is as hard as the general DL problem in .

The XTR parameters are now chosen in such a way that is not small, is sufficiently large and cannot be embedded in a true subfield of , since and is a divisor of , but it does not divide and thus cannot be a subgroup of for . It follows that the DL problem in the XTR group may be assumed as hard as the DL problem in .

Security of XTR[edit]

Cryptographic protocols that are based on Discrete Logarithms can use many different types of subgroups like groups of points of elliptic curves or subgroups of the multiplicative group of a finite field like the XTR group. As we have seen above the XTR versions of the Diffie–Hellman and ElGamal encryption protocol replace using elements of the XTR group by using their traces. This means that the security of the XTR versions of these encryption schemes is no longer based on the original DH, DHD or DL problems. Therefore, the XTR versions of those problems need to be defined and we will see that they are equivalent (in the sense of the next definition) to the original problems.


  • We define the XTR-DH problem as the problem of computing given and and we write .
  • The XTR-DHD problem is the problem of determining whether for .
  • Given , the XTR-DL problem is to find , i.e. such that .
  • We say that problem is (a,b)-equivalent to problem , if any instance of problem (or ) can be solved by at most a (or b) calls to an algorithm solving problem (or ).

After introducing the XTR versions of these problems the next theorem is an important result telling us the connection between the XTR and the non-XTR problems, which are in fact equivalent. This implies that the XTR representation of elements with their traces is, as can be seen above, faster by a factor of 3 than the usual representation without compromising security.

Theorem The following equivalencies hold:

i. The XTR-DL problem is (1,1)-equivalent to the DL problem in .
ii. The XTR-DH problem is (1,2)-equivalent to the DH problem in .
iii. The XTR-DHD problem is (3,2)-equivalent to the DHD problem in .

This means that an algorithm solving either XTR-DL, XTR-DH or XTR-DHD with non-negligible probability can be transformed into an algorithm solving the corresponding non-XTR problem DL, DH or DHD with non-negligible probability and vice versa. In particular part ii. implies that determining the small XTR-DH key (being an element of ) is as hard as determining the whole DH key (being an element of ) in the representation group .


  1. ^ a b c Lenstra, Arjen K.; Verheul, Eric R. "An overview of the XTR public key system" (PDF). CiteSeerX Archived from the original (PDF) on April 15, 2006. Retrieved 2008-03-22. {{cite journal}}: Cite journal requires |journal= (help)
  2. ^ Lenstra, Arjen K.; Verheul, Eric R. "The XTR public key system". CiteSeerX {{cite journal}}: Cite journal requires |journal= (help)