2,735 research outputs found
Efficient algorithms for pairing-based cryptosystems
We describe fast new algorithms to implement recent cryptosystems based on the Tate pairing. In particular, our techniques improve pairing evaluation speed by a factor of about 55 compared to previously known methods in characteristic 3, and attain performance comparable
to that of RSA in larger characteristics.We also propose faster algorithms for scalar multiplication in characteristic 3 and square root extraction
over Fpm, the latter technique being also useful in contexts other than that of pairing-based cryptography
Key Length Estimation of Pairing-based Cryptosystems using Pairing
The security of pairing-based cryptosystems depends on the difficulty of the discrete logarithm problem (DLP) over certain types of finite fields. One of the most efficient algorithms for computing a pairing is the pairing over supersingular curves on finite fields whose characteristic is . Indeed many high-speed implementations of this pairing have been reported, and it is an attractive candidate for practical deployment of pairing-based cryptosystems. The embedding degree of the pairing is 6, so we deal with the difficulty of a DLP over the finite field , where the function field sieve (FFS) is known as the asymptotically fastest algorithm of solving it. Moreover, several efficient algorithms are employed for implementation of the FFS, such as the large prime variation. In this paper, we estimate the time complexity of solving the DLP for the extension degrees ,
when we use the improved FFS. To accomplish our aim, we present several new computable estimation formulas to compute the explicit number of special polynomials used in the improved FFS. Our estimation contributes to the evaluation for the key length of pairing-based cryptosystems using the pairing
Point compression for the trace zero subgroup over a small degree extension field
Using Semaev's summation polynomials, we derive a new equation for the
-rational points of the trace zero variety of an elliptic curve
defined over . Using this equation, we produce an optimal-size
representation for such points. Our representation is compatible with scalar
multiplication. We give a point compression algorithm to compute the
representation and a decompression algorithm to recover the original point (up
to some small ambiguity). The algorithms are efficient for trace zero varieties
coming from small degree extension fields. We give explicit equations and
discuss in detail the practically relevant cases of cubic and quintic field
extensions.Comment: 23 pages, to appear in Designs, Codes and Cryptograph
Computational and Energy Costs of Cryptographic Algorithms on Handheld Devices
Networks are evolving toward a ubiquitous model in which heterogeneous
devices are interconnected. Cryptographic algorithms are required for developing security
solutions that protect network activity. However, the computational and energy limitations
of network devices jeopardize the actual implementation of such mechanisms. In this
paper, we perform a wide analysis on the expenses of launching symmetric and asymmetric
cryptographic algorithms, hash chain functions, elliptic curves cryptography and pairing
based cryptography on personal agendas, and compare them with the costs of basic operating
system functions. Results show that although cryptographic power costs are high and such
operations shall be restricted in time, they are not the main limiting factor of the autonomy
of a device
An Efficient hardware implementation of the tate pairing in characteristic three
DL systems with bilinear structure recently became an important base for cryptographic protocols such as identity-based encryption (IBE). Since the main
computational task is the evaluation of the bilinear pairings over elliptic curves, known to be prohibitively expensive, efficient implementations are required to render them applicable in real life scenarios. We present an efficient accelerator for computing the Tate Pairing in characteristic 3, using the Modified Duursma-Lee algorithm. Our accelerator shows that it is possible to improve the area-time product by 12 times on FPGA, compared to estimated values from one of the best known hardware architecture [6] implemented on the same type of FPGA. Also the computation time is improved upto 16 times compared to software applications reported in [17]. In addition, we present the result of an ASIC implementation of the algorithm, which is the first hitherto
Refinements of Miller's Algorithm over Weierstrass Curves Revisited
In 1986 Victor Miller described an algorithm for computing the Weil pairing
in his unpublished manuscript. This algorithm has then become the core of all
pairing-based cryptosystems. Many improvements of the algorithm have been
presented. Most of them involve a choice of elliptic curves of a \emph{special}
forms to exploit a possible twist during Tate pairing computation. Other
improvements involve a reduction of the number of iterations in the Miller's
algorithm. For the generic case, Blake, Murty and Xu proposed three refinements
to Miller's algorithm over Weierstrass curves. Though their refinements which
only reduce the total number of vertical lines in Miller's algorithm, did not
give an efficient computation as other optimizations, but they can be applied
for computing \emph{both} of Weil and Tate pairings on \emph{all}
pairing-friendly elliptic curves. In this paper we extend the Blake-Murty-Xu's
method and show how to perform an elimination of all vertical lines in Miller's
algorithm during Weil/Tate pairings computation on \emph{general} elliptic
curves. Experimental results show that our algorithm is faster about 25% in
comparison with the original Miller's algorithm.Comment: 17 page
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