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United States Patent 8,045,705
Antipa , et al. October 25, 2011
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Simultaneous scalar multiplication method
Abstract
In computing point multiples in elliptic curve schemes (e.g. kP and sQ) separately using, for
example, Montgomery's method for the purpose of combining kP+sQ several operations are repeated in
computing kP and sQ individually, that could be executed at the same time. A simultaneous scalar
multiplication method is provided that reduces the overall number of doubling and addition operations
thereby providing an efficient method for multiple scalar multiplication. The elements in the pairs
for P and Q method are combined into a single pair, and the bits in k and s are evaluated at each
step as bit pairs. When the bits in k and s are equal, only one doubling operation and one addition
operation are needed to compute the current pair, and when the bits in k and s are not equal, only
one doubling operation is needed and two addition operations.
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Inventors: Antipa; Adrian (Brampton, CA), Poeluev; Yuri (Waterloo, CA)
Assignee: Certicom Corp. (Mississauga, CA)
Appl. No.: 11/556,531
Filed: November 3, 2006
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Related U.S. Patent Documents
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Application Number Filing Date Patent Number Issue Date
60732715 Nov., 2005
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Current U.S. Class: 380/28 ; 380/259; 380/268; 380/280; 380/43; 380/45; 713/170
Current International Class: H04K 1/00 (20060101); H04L 9/32 (20060101); H04L 9/08 (20060101);
H04L 9/00 (20060101)
Field of Search: 380/259,46,28,43,45,260,268,280 713/170
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References Cited [Referenced By]
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U.S. Patent Documents
2003/0026419 February 2003 Akishita
2003/0059043 March 2003 Okeya
2003/0123656 July 2003 Izu et al.
Other References
Montgomery, Peter L.; "Speeding the Pollard and Elliptic Curve Methods of Factorization";
Mathematics of Computation, Jan. 1987; pp. 243-264; vol. 48, No. 177. cited by other .
Menezes, Alfred J.; Van Oorschot, Paul C.; Vanstone, Scott A.; Handbook of Applied
Cryptography; 1997; pp. 617-618; CRC Press LLC. cited by other .
Akishita, T.; "Fast Simultaneous Scalar Multiplication on Elliptic Curve with Montgomery
Form"; Lecture Notes in Computer Science; Jan. 1, 2001; pp. 255 to 267; vol. 2259;
Springer-Verlag. cited by other .
Hankerson, D. et al.; "Software Implementation of Elliptic Curve Cryptography over Binary
Fields"; Proceedings of the Second International Workshop on Cryptographic Hardware and
Embedded Systems; Lecture Notes in Computer Science; Aug. 17, 2000; pp. 1 to 24; vol.
1965; Springer-Verlag. cited by other .
Joye, M. et al.; "The Montgomery Powering Ladder"; Revised Papers from the 4.sup.th
International Workshop on Cryptographic Hardware and Embedded Systems; Lecture Notes in
Computer Science; Aug. 13, 2002; pp. 291 to 302; vol. 2523; Springer-Verlag. cited by
other .
Prins, L.; Supplementary Search Report from corresponding European Application No.
06804680.4; search completed Feb. 24, 2010. cited by other .
Lee, Mun-Kyu; "SPA-Resistant Simultaneous Scalar Multiplication"; In Parallel and
Distributed Processing and Applications: Second International Symposium, ISPA 2004
Proceedings, Hong Kong, Dec. 13-15, 2004; pp. 314-321; LNCS; vol. 348; Jan. 2005;
Springer, Heidelberg. cited by other .
Dahmen, E. et al.; "Efficient Left-to-Right Multi-exponentiations"; Nov. 1, 2005; pp. 1 to
8; http://www.cdc.informatik.tu-darmstadt.de/reports/TR/TI-05-02.DOT05a.sub.-
--multiexp.pdf. cited by other .
Fischer, W. et al.; Parallel scalar multiplication on general elliptic curves over F.sub.p
hedged against Non-Differential Side-Channel Attacks; Jan. 9, 2002; http://eprint.iacr.org
/2002/007.pdf. cited by other .
Prins, Leendert; Search Report from corresponding European Application No. 10189354.3;
search completed Jan. 13, 2011. cited by other.
Primary Examiner: Reza; Mohammad W
Attorney, Agent or Firm: Blake, Cassels & Graydon LLP Bhole; Anil Orange; John R. S.
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Parent Case Text
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This application claims priority from U.S. Provisional patent application No. 60/732,715 filed Nov.
3, 2005
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Claims
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What is claimed is:
1. A method comprising: performing simultaneously in a computer, in an elliptic curve cryptographic
system, a first multiplication of a first point P on an elliptic curve E by a first scalar k and a
second multiplication of a second point Q on said elliptic curve E by a second scalar s, wherein said
scalars k, s comprise different numbers of bits and wherein said performing comprises: generating an
initial computation pair by: determining a one of said scalars k, s which comprises fewer bits;
padding said one of said scalars with zeros such that bit lengths of the scalars k, s become equal,
thereby providing t bit pairs (k.sub.i, s.sub.i), wherein t represents a total number of bits in each
of said scalars and i represents a current bit being evaluated in said first and second scalars; and
performing Montgomery's method on bit pairs comprising the padding in said one of said scalars and
corresponding bits of other of said scalars to generate said initial computation pair; and for
remaining bit pairs (k.sub.i, s.sub.i) beginning with a first pair after the padding, simultaneously
performing at least one repetitive operation in said first and second multiplications according to
values indicated in each respective said bit pair (k.sub.i, s.sub.i) to thereby reduce the number of
mathematical operations at each step in said multiplications.
2. The method according to claim 1 further comprising discarding a most significant bit in said one
of said scalars, and discarding a most significant bit in the other of said scalars.
3. The method according to claim 1 wherein said first and second multiplications are represented
simultaneously at each step by a computation pair [mP +nQ, (m+1)P +(n+1)Q], wherein m represents the
coefficient of said first point P in the previous computation pair and n represents the coefficient
of said second point Q in the previous pair, and whereby for each pair second component differs from
first component by (P+Q).
4. The method according to claim 3 wherein when said bit pair (k.sub.i,s.sub.i) currently equals
(0,0), the next computation pair is [2mP +2 nQ, (2m+1)P +(2n+1)Q].
5. The method according to claim 3 wherein when said bit pair (k.sub.i,s.sub.i) currently equals
(1,1), the next computation pair is [(2m+1)P +(2n+1)Q, (2m+2)P +(2n+2)Q].
6. The method according to claim 3 wherein when said bit pair (k.sub.i, s.sub.i) currently equals
(0,1), the next computation pair is [2mP +2nQ +Q, (2m+1)P +(2n+1)Q +Q].
7. The method according to claim 3 wherein when said bit pair (k.sub.i, s.sub.i) currently equals
(1,0), the next computation pair is [2mP +2nQ +P, (2m+1)P +P +(2n+1)Q].
8. A cryptographic system comprising: a processor and memory for storing a program, wherein execution
of the program in the memory by the processor causes the cryptographic system to perform the
following operations: performing simultaneously, in an elliptic curve cryptographic system, a first
multiplication of a first point P on an elliptic curve E by a first scalar k and a second
multiplication of a second point Q on said elliptic curve E by a second scalar s, wherein said
scalars k, s comprise different numbers of bits, and wherein said performing comprises: generating an
initial computation pair by: determining a one of said scalars k, s which comprises fewer bits;
padding said one of said scalars with zeros such that bit lengths of the scalars k, s become equal,
thereby providing t bit pairs (k.sub.i, s.sub.i, wherein t represents a total number of bits in each
of said scalars and i represents a current bit being evaluated in said first and second scalars; and
performing Montgomery's method on bit pairs comprising the padding in said one of said scalars and
corresponding bits of other of said scalars to generate said initial computation pair; and for
remaining bit pairs (k.sub.i, s.sub.i) beginning with a first pair after the padding, simultaneously
performing at least one repetitive operation in said first and second multiplications according to
values indicated in each respective said bit pair (k .sub.i,s.sub.i)to thereby reduce the number of
mathematical operations at each step in said multiplications.
9. The cryptographic system according to claim 8, further configured for discarding a most
significant bit in said one of said scalars, and discarding a most significant bit in the other of
said scalars.
10. The cryptographic system according to claim 8 wherein said first and second multiplications are
represented simultaneously at each step by a computation pair [mP +nQ, (m+1)P +(n+1)Q], wherein m
represents the coefficient of said first point P in the previous computation pair and n represents
the coefficient of said second point Q in the previous pair, and whereby for each pair second
component differs from first component by (P+Q).
11. The cryptographic system according to claim 10 wherein when said bit pair (k.sub.i,s.sub.i)
currently equals (0,0), the next computation pair is [2 mP+2nQ, (2m+1)P+(2n+1)Q].
12. The cryptographic system according to claim 10 wherein when said bit pair (k.sub.i,s.sub.i)
currently equals (1,1), the next computation pair is [(2m+1)P +(2n+1)Q, (2m+2)P +(2n+2)Q].
13. The cryptographic system according to claim 10 wherein when said bit pair (k.sub.i,s.sub.i)
currently equals (0,1), the next computation pair is [2mP +2nQ +Q, (2m+1)P +(2n+1)Q +Q].
14. The cryptographic system according to claim 10 wherein when said bit pair (k.sub.i, s.sub.i)
currently equals (1,0), the next computation pair is [2mP +2nQ +P, (2m+1)P +P +(2n+1)Q].
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Description
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FIELD OF THE INVENTION
The present invention relates generally to the field of cryptography, and has particular utility in
elliptic curve cryptography and scalar multiplication methods therefor.
DESCRIPTION OF THE PRIOR ART
In elliptic curve arithmetic, point multiplication refers to an operation where an integer is
multiplied by a point on an elliptic curve. It is well known that point multiplication can dominate
the execution time of elliptic curve cryptographic schemes.
One method for performing point multiplication to compute a value kP is Montgomery's method, where k
is an integer and P is a point on an elliptic curve E. In one implementation of Montgomery's method,
the integer value k is represented as a series of binary bits in base 2. Montgomery scalar
multiplication computes kP using a sequence starting with the pair (mP,(m+1)P) and the bits in k. The
coefficient m is an arbitrary integer representing the coefficient of P in the first term of the
previous pair. In the sequence, each pair is obtained from the previous one by doubling one component
and adding both components, wherein the order of these operations depends on the value of the bit in
k. The sequence begins with a starting pair, and computes a new pair for each bit in k with the
exception of the most significant bit. For all pairs, the second component differs from the first
component by P. This fact allows for the use of more efficient formulae for point doubling and point
addition,
In practice, the sequence starts with the pair (P,2P), where P is the first term, 2P is the second
term and thus m=1. The most significant bit of the integer k is discarded, and proceeding from the
second most significant bit down to the least significant bit of k, the next pair is computed as
follows.
For each step, if the current bit in k is zero (0) (e.g. for the second step, if the second most
significant bit in k is zero . . . ), the current first term will be double the previous first term,
and the current second term will be the sum of the previous first and second terms. However, if the
current bit in k is 1, the current first term will be the sum of the previous first and second terms
and the current second term will be double the previous second term.
For example, starting with the pair (mP,(m+1)P), at the next step, if the current bit in k is 0, the
current pair of then (2*mP, mP+(m+1)P)=(2mP, (2m+1)P). Alternatively, if the current bit in k is 1,
the current pair is then (mP+(m+1)P, 2*(m+1)P)=((2m+1)P), (2m+2)P). As you can see, each step
includes a doubling operation and an addition operation. The sequence continues for each bit, until
the last bit in k, and at that point, the first term of the current pair (e.g. the first term of the
last pair computed) contains the desired value for kP.
An example of Montgomery's method is shown in FIG. 1. In the example shown in FIG. 1, k=45=
101101.sub.2. The sequence starts with the pair (P, 2P) and for i=5 down to i=0, a new pair is
computed for the current bit in k.
To illustrate the general methodology used above, reference is made to step i=3, where the current
bit in k is 1 and the previous pair is (2P, 3P) (i.e. from step i=4). Since the current bit is 1, the
current first term is computed as 2P+3P=5P, as shown in the chart of FIG. 1 at step i=3. The current
second term is computed as 2*3P=6P, which is also shown in the chart. Another way to compute the
terms is based on the value of m, which for this step equals two (2) (i.e. the coefficient of P in
step i=4 is equal to 2). Accordingly, the current first term is calculated as (2*2+1)P=5P, and the
current second term is calculated as (2*2+2)P=6P. At step i=0, the value 45P corresponds to the
desired value kP, which is what would be expected, since k=45.
In certain elliptic curve cryptographic operations, such as Elliptic Curve Digital Signature
Algorithm (ECDSA) verification, a combination of scalar multiplications is calculated to obtain
kP+sQ, where Q is another point on the elliptic curve E, and s is another scalar. It is possible to
use Montgomery's method to obtain kP+sQ, however, each scalar multiplication would be done
separately, and the two resultant values, namely kP and sQ would then be added together to obtain the
simultaneous multiplication kP+sQ. Therefore, to obtain kP+sQ individual doubling operations and
addition operations are required for each bit in both k and s.
Since scalar multiplication can dominate the execution time of elliptic curve cryptographic schemes,
the above-mentioned use of Montgomery's method for such a verification step would likely be
considered inefficient in typical applications.
It is therefore an object of the present invention to obviate or mitigate at least one of the above
described disadvantages.
SUMMARY OF THE INVENTION
A method for simultaneous point multiplication is provided which is of particular use with
Montgomery's method. The method reduces the number of doubling operations and in certain cases the
number of addition operations when compared to using Montgomery's method separately for each point
multiple.
In one aspect, a method for simultaneously performing a first multiplication of a first scalar k by
first point P on an elliptic curve E, and a second multiplication of a second scalar s by a second
point Q on the elliptic curve E is provided. The method comprises for t bit pairs (k.sub.i, S.sub.i),
where t represents the total number of bits in the scalars and i represents the current bit being
evaluated in the first and second scalars, simultaneously performing at least one repetitive
operation in the first and second multiplications according to the values indicated in each bit pair
(k.sub.i, s.sub.i) to thereby reduce the number of mathematical operations at each step in the
multiplications.
In another aspect, a method for simultaneously performing a first multiplication of a first scalar k
by first point P on an elliptic curve E, and a second multiplication of a second scalar s by a second
point Q on the elliptic curve E, the first and second scalars having different bit lengths is
provided. The method comprises padding the shorter of the first and second scalars with v zeros such
that each scalar comprises t bits, where t represents the total number of bits in the largest bit
length; discarding the most significant bit in the first scalar k, and discarding the most
significant bit in the second scalar s; for v-1 bit pairs (k.sub.i, s.sub.i) comprising non-discarded
padded zeros, where i represents the current bit being evaluated in the first and second scalars,
performing Montgomery's method for the longer of the first and second scalars; and for the remaining
t-v-1 bit pairs (k.sub.i, s.sub.i), simultaneously performing at least one repetitive operation in
the first and second multiplications for the bit pair (k.sub.i, s.sub.i) according to the values
indicated in the bit pair (k.sub.i, s.sub.i) to thereby reduce the number of mathematical operations
at each step in the multiplications.
BRIEF DESCRIPTION OF THE DRAWINGS
An embodiment of the invention will now be described by way of example only with reference to the
appended drawings wherein:
FIG. 1 is a chart illustrating an implementation of Montgomery's method for scalar multiplication;
FIG. 2 is a cryptographic communication system; and
FIG. 3 is a chart illustrating an embodiment of a simultaneous scalar multiplication method.
FIG. 4 is a chart illustrating another embodiment of the simultaneous scalar multiplication method
illustrated in FIG. 3.
DETAILED DESCRIPTION OF THE INVENTION
Referring therefore to FIG. 2, a cryptographic communication system is generally denoted by numeral
10. The system 10 has a first correspondent 12 and a second correspondent 14 that may communicate
with each other over a communication channel 16. The communication channel 16 may or may not be
secure. Each correspondent has a cryptographic module 18 and 20 respectively, for performing
cryptographic operations.
Preferably, each cryptographic module 18 and 20 is capable of performing elliptic curve cryptographic
operations such as point multiplication of one or more integer and one or more point on the elliptic
curve E defined over a field F.sub.q. Such cryptographic operations include, for example, the ECDSA,
and steps performed therefor. The embodiments described herein are particularly suitable for ECDSA
verification where the combination kP+sQ is calculated, and when no pre-computed tables are available
for P and Q.
It will be appreciated that the embodiments described herein may also be used for other cryptographic
operations involving multiple point multiplication, and should not be limited to computing the
combination kP+sQ for ECDSA verification, as described herein.
When computing kP and sQ separately using Montgomery's method, the applicants have discovered that
several operations are repeated in computing kP and sQ that could be executed with a single
operation. The following discusses a simultaneous scalar multiplication method that reduces the
overall number of doubling and addition operations thereby providing an efficient method for multiple
scalar multiplication.
In the present simultaneous scalar multiplication method, the pairs used in computing kP and sQ are
combined to create the single computation pair: (mP+nQ, (m+1)P+(n+1)Q). The starting pair, where m=n=
1, is thus (P+Q, 2(P+Q)), and the most significant bits in k and s are discarded. For all pairs in
this method, the second component differs from the first component by P+Q. This fact allows for the
use of more efficient formulae for point doubling and point addition.
In this embodiment, the integers k and s are represented by a series of binary bits. Accordingly, at
each step of the simultaneous method, a bit pair (k.sub.i, s.sub.i) is referenced, one bit from k,
and one bit from s. With two bits being referenced at each step, and each bit having a binary
representation therefor, the possible bit pairs in this example are (0,0), (1,1), (0,1) and (1,0). In
general, there are t bits in each scalar, and the evaluation proceeds from i=t-1 down to i=0, e.g.
where k.sub.i is the most significant bit and k.sub.0 is the least significant bit.
When the bit pairs are (0,0) and (1,1), similar operations are performed for k and s, and as such,
one doubling operation can be performed on both P and Q at the same time, and one addition of the
terms in the previous pair. Therefore, since only one doubling and one addition are required to
operate on P and Q, the present simultaneous scalar multiplication of kP+sQ when the bit pairs are
(0,0) and (1,1) requires one half of the doubling operations and one half of the addition operations.
When the bit pair is (0,0), each of the current first terms for P and Q require a doubling operation
of the previous first terms, and each of the second terms becomes the sum of the previous first and
second terms. Accordingly, beginning with the pair (mP+nQ, (m+1)P+(n+1)Q), the next pair when the
current bits in both k and s are zero (0) is (2*(mP+nQ), mP+nQ+(m+1)P+(n+1)Q), which simplifies to:
(0,0):(2mP+2nQ,(2m+1)P+(2n+1)Q); Case 1
where m and n are the coefficients of P and Q respectively in the previous step.
When the bit pair is (1,1), each of the current first terms for P and Q become the sum of the
previous first and second terms, and each of the second terms requires a doubling of the previous
second term. Accordingly, beginning with the pair (mP+nQ, (m+1)P+(n+1)Q), the next pair when the
current bits in both k and s are one (1) is (mP+nQ+(m+1)P+(n+1)Q, 2*((m+1)P+(n+1)Q)), which
simplifies to: (1,1):((2m+1)P+(2n+1)Q,(2m+2)P+(2n+2)Q); Case 2
where m and n are the coefficients of P and Q respectively in the previous step.
Therefore, in the case where the bits in k and s are the same, one half of the operations are needed
to calculate the current step in the sequence computing kP+sQ, thereby increasing the computational
efficiency for multiple point scalar multiplication.
When the bit pairs are (0,1) and (1,0), different operations are required for kP and sQ, however,
certain repetitions can be avoided, in particular repeated doubling operations. The present
simultaneous scalar multiplication of kP+sQ when the bit pairs are (0,1) and (1,0) requires only half
of the doubling operations, and thus requires three quarters of the overall operations.
When the bit pair is (0,1), the current first terms for P and Q require a doubling and an addition
operation respectively, and the current second terms for P and Q require the opposite. To accommodate
both P and Q simultaneously, the applicants have discovered that the current first term can be
computed by doubling the previous first term and adding Q, and the current second term can be
computed by adding (P+Q) to the current first term, thereby requiring only one doubling and two
additions. Accordingly, beginning with the pair (mP+nQ, (m+1)P+(n+1)Q), the next pair (where the
current bit in k is zero (0) and the current bit in s is one (1)) is (2*(mP+nQ)+Q, 2*(mP+nQ)+Q+
(P+Q)), which simplifies to: (0,1):(2mP+2nQ+Q,(2m+1)P+(2n+1)Q+Q); Case 3
where m and n are the coefficients of P and Q respectively in the previous step.
Where the bit pair is (1,0), the current first terms for P and Q require an addition and doubling
operation respectively, and the current second terms for P and Q require the opposite. To accommodate
both P and Q simultaneously, the applicants have discovered that the current first term can be
computed by doubling the previous first term and adding P, and the current second term can be
computed by adding (P+Q) to the current first term, thereby requiring only one doubling and two
additions. Accordingly, beginning with the pair (mP+nQ, (m+1)P+(n+1)Q), the next pair (when the
current bit in k is one (1) and the current bit in s is zero (0)) is (2*(mP+nQ)+P, 2*(mP+nQ)+P+
(P+Q)), which simplifies to: (1,0):(2mP+2nQ+P,(2m+1)P+P+(2n+1)Q); Case 4
where m and n are the coefficients of P and Q respectively in the previous step.
Therefore, in the cases where the bits in k and s are different, three quarters of the operations are
needed to calculate the current step in the sequence computing kP+sQ, thereby increasing the
computational efficiency for multiple point scalar multiplication.
The sequence continues for each bit pair (evaluating which case above is required), until the least
significant bits in k and s, and at that point, the current pair (e.g. the last pair computed)
contains the desired value kP+sQ as its first term.
An example of the embodiment described above is shown in FIG. 3. In the example shown in FIG. 3, k=45
=101101.sub.2, s=54=110110.sub.2, and k and s have the same bit length, where t=6. The sequence
starts with the pair (P+Q, 2P+2Q) and for i=5 down to i=0, a new pair is computed for the current bit
pair as follows.
The most significant bit in k and the most significant bit in s are discarded and the first
computation is made at step i=4. At this step, the current bit in k is zero (0), the current bit in s
is one (1), and the previous pair (i.e. the starting pair) is (P+Q,2P+2Q). Since the current bit pair
is (0,1), the current first term is computed by doubling the previous first term and adding Q,
namely, 2*P+2*Q+Q=2P+3Q as shown in the chart of FIG. 3 at step i=2. The current second term is
computed by adding (P+Q) to the current first term, namely, 2P+3Q+(P+Q)=3P+4Q, which is also shown in
the chart. Another way to compute the terms is based on the values of m and n, which at this step
equal 1 and 1 respectively (i.e. the coefficients of P and Q in step i=5). Accordingly, the current
first term is calculated as 2*1P+2*1Q+Q=2P+3Q, and the current second term is calculated as (2*1+1)P+
(2*1+1)Q+Q=3P+4Q, as was calculated above.
At step i=3, the current bit in k is one (1), the current bit in s is zero (0), and the previous pair
is (2P+3Q,3P+4Q). Since the current bit pair is (1,0), the current first term is computed by doubling
the previous first term and adding P, namely, 2*2P+2*3Q+P=5P+6Q as shown in the chart of FIG. 3 at
step i=3. The current second term is computed by adding (P+Q) to the current first term, namely,
5P+6Q+(P+Q)=6P+7Q, which is also shown in the chart. It will be appreciated that the pair can also be
calculated based on the values of m and n as illustrated above.
At step i=2, the current bit in k is one (1), the current bit in s is one (1), and the previous pair
is (5P+6Q, 6P+7Q). Since the current bit pair is (1,1), the current first term is computed as the sum
of the previous terms, namely, 5P+6P+6Q+7Q=11P+13Q, as shown in the chart of FIG. 3 at step i=2. The
current second term is computed by doubling the previous second term, namely, 2*6P+2*7Q=12P+14Q,
which is also shown in the chart. It will be appreciated that the pair can also be calculated based
on the values of m and n as illustrated above.
At step i=1, the current bit in k is zero (0), the current bit in s is one (1), and the previous pair
is (11P+13Q, 12P+14Q). Since the current bit pair is (0,1), the current first term is computed by
doubling the previous first term and adding Q, namely, 2*11P+2*13Q+Q=22P+27Q as shown in the chart of
FIG. 3 at step i=1. The current second term is computed by adding (P+Q) to the current first term,
namely, 22P+27Q+(P+Q)=23P+28Q, which is also shown in the chart. It will be appreciated that the pair
can also be calculated based on the values of m and n as illustrated above.
Finally, at step i=0, the current bit in k is one (1), the current bit in s is zero (0), and the
previous pair is (22P+27Q, 23P+28Q). Since the current bit pair is (1,0), the current first term is
computed by doubling the previous first term and adding P, namely, 2*22P+2*27Q+P=45P+54Q as shown in
the chart of FIG. 3 at step i=0. The current second term is computed by adding (P+Q) to the current
first term, namely, 45P+54Q+(P+Q)=46P+54Q, which is also shown in the chart. It will be appreciated
that the pair can also be calculated based on the values of m and n as illustrated above.
The value 45P+54Q (i.e. the first term in the last pair) corresponds to the desired combination
kP+sQ, which is what would be expected, since k=45 and s=54.
In another embodiment shown in FIG. 4, the bit lengths of k and s are different, where k=5=101.sub.2,
and s=109=1101101.sub.2. In this case, k is padded with v zeros at the front such that the bit
lengths then become equal. As shown in the chart, for the steps i=6 down to i=2 (i.e. for the padded
zeros and the first term in k), Montgomery's method is performed for Q only (i.e. for the scalar
having the longer bit length and thus no padded zeros).
Accordingly, the sequence begins at step i=6 with the pair (Q, 2Q). The most significant bits are
discarded, therefore, the first computation is made at step i=5. Since the bit in k at step i=5 is a
padded zero, only the bit in s is looked at. At this step, the bit in s is one (1), and the previous
pair (i.e. the first pair) is (Q, 2Q). Since the bit in s is one (1), the current first term is
computed as the sum of the previous terms, namely as Q+2Q=3Q as shown in the chart of FIG. 4 at step
i=5. The current second term is computed by doubling the previous second term, namely, 2(2Q)=4Q as
also shown in the chart. It will be appreciated that the pair can also be calculated based on the
value of n.
At step i=4, the bit in k is also a padded zero, therefore, only the bit in s is looked at. At this
step, the bit in s is zero (0), and the previous pair is (3Q, 4Q). Since the bit in s is zero (0),
the current first term is computed as double the previous first term, namely as 2*3Q=6Q as shown in
the chart of FIG. 4 at step i=4. The current second term is computed as the sum of the previous
terms, namely, 3Q+4Q=7Q as also shown in the chart. It will be appreciated that the pair can also be
calculated based on the value of n
At step i=3, the bit in k is the final padded zero for this sequence, therefore, only the bit in s is
looked at. At this step, the bit in s is one (1), and the previous pair is (6Q, 7Q). Since the bit in
s is one (1), the current first term is computed as the sum of the previous terms, namely as 6Q+7Q=
13Q as shown in the chart of FIG. 4 at step i=3. The current second term is computed by doubling the
previous second term, namely, 2(7Q)=14Q as also shown in the chart. It will be appreciated that the
pair can also be calculated based on the value of n.
At step i=2, the bit in k is no longer a padded zero, but an actual value. Therefore, this pair is
the first pair in the simultaneous multiplication, the first bit in k is discarded, and the pair (P,
2P) is added to the current Q values. The current Q values are calculated by looking at the current
value in s, which is one (1) and the previous pair, which is (13Q, 14Q). Since the bit in s is one
(1), the Q portion of the current first term is computed as the sum of the previous terms, namely as
13Q+14Q=27Q as shown in the chart of FIG. 4 at step i=2. The Q portion of the current second term is
computed by doubling the previous second term, namely, 2(14Q)=28Q as also shown in the chart, It will
be appreciated that the pair can also be calculated based on the value of n. The complete pair is
then derived by adding (P, 2P) to the current Q values resulting in (P+27Q, 2P+28Q) as shown in the
chart.
The next step (i.e. the second step in the simultaneous multiplication portion) then utilizes the
current bit pair (0,0) at i=1, where the previous pair is (P+27Q, 2P+28Q). Since the bit pair is
(0,0), the current first term is computed by doubling the previous first term, namely, 2*2P+2*27Q=
2P54Q as shown in the chart of FIG. 4 at step i=1. The current second term is computed as the sum of
the previous terms, namely, P+27Q+2P+28Q=3P+55Q, which is also shown in the chart. It will be
appreciated that the pair can also be calculated based on the values of m and n as illustrated above.
Finally, at step i=0, the current bit pair is (1,1) and the previous pair is (2P+54Q, 3P+55Q). Since
the bit pair is (1,1), the current first term is computed as the sum of the previous terms, namely,
2P+54Q+3P+55Q=5P+109Q as shown in the chart of FIG. 4 at step i=0. The current second term is
computed by doubling the previous second term, namely, 2*3P+2*55Q=6P+110Q, which is also shown in the
chart. It will he appreciated that the pair can also be calculated based on the values of m and n as
illustrated above.
The value 5P+109Q (i.e. the first term in the last pair) corresponds to the desired combination
kP+sQ, which is what would be expected, since k=5 and s=109. Accordingly, the present simultaneous
point multiplication method can also be readily implemented for integers of different bit lengths.
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.
* * * * *
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