Number Field Sieve For The Dlp
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The Function Field Sieve is very similar to the Number Field Sieve (the latter, best known as an algorithm for integer factoring, also exists as an algorithm to compute discrete logarithms in finite fields GF ( p k) when k grows slower than (log p) 2 Number Field Sieve for Factoring and Number Field Sieve for DLP). 摘要: The hardness of discrete logarithm problem (DLP) over finite fields forms the security foundation of many cryptographic schemes. When the characteristic is not small, the state-of-the-art algorithms for solving the DLP are the number field sieve (NFS) and its variants. NFS first computes the logarithms of the factor base, which consists of elements of small norms. Then, Easy starting point: any polynomial selection methods that works for N (for factoring) will work for p (for DLP in Fp). Several computations actually used that in the past.
The security of pairing-based cryptography is based on the hardness of the discrete logarithm problem (DLP) over finite field GF(p n ). For example, the security of the optimal Ate pairing using BN curves,
Hey! I am trying to find a proper library in order to solve the discrete logarithm problem for multiplicative groups. In fact, I would like to solve it in a group like Z/NZ where N is prime number. Do you know any library where Index calculus algorithm or Number field sieve is implemented? The functions discrete_log and discrete_log_rho sometimes do not work properly when the New Complexity Trade-Offs for the (Multiple) Number Field Sieve Algorithm in Non-Prime Fields Palash Sarkar and Shashank Singh lly chosen fields being prime fields). Invented by Adleman [2] in 1994, the Function Field Sieve has been the most efficient algorithm known to solve the DLP in finite f elds of sm fields GF(2613) [21] and GF(2619) [8]. In 2013, several works have significantly changed the landscape and improved the asymptotic complexity for solving the DLP
Cado-nfs, a Number Field Sieve implementation
The hardness of discrete logarithm problem (DLP) over finite fields is the security foundation of many cryptographic protocols. When the characteristic is not small, the state-of-the-art algorithms for solving DLP are the number field sieve (NFS) and its variants. In the relation collection step, to translate the relations between prime ideals to those of elements one needs In a recent work, Kim and Barbulescu had extended the tower number field sieve algorithm to obtain improved asymptotic complexities in the medium prime case for the discrete logarithm problem on DLP over medium/large prime cases. For larger characteristic case, most of the current best algorithms come from the number eld sieve (NFS) algorithm. The NFS was rst introduced by Gordon [9] targeting at the DLP over prime elds.
第三十七个知识点: The Number Field Sieve 第三十七个知识点: The Number Field Sieve 数域筛法(The Number Field Sieve ,NFS)是已知的分解算法中最有效率的。 它的运行时间取决于被分解的数的大小而不是它的因子的大小。 As reported later, a hybrid classical-quantum application of a general number field sieve for both IFP and DLP should allow finding solutions in about 50-bit cases without increasing the number of logic variables in given QUBO problems.
The authors discuss the polynomial selection and number field sieve optimizations. Elliptic curves over extension fields are optimized for the algorithms. Takagi [19] introduced index calculus as a method for solving the ECDLP on abelian varieties of small dimensions.
- General number field sieve
- Discrete logarithm problem for multiplicative groups
- Computing Individual Discrete Logarithms Faster in GF(p
- Number Field Sieve for the DLP
Keywords: Discrete Logarithm Problem; Number Field Sieve; Finite Fields; Cryptanalysis 1 Introduction The discrete logarithm problem (DLP) is at the foundation of a series of public key cryptosystems. Over a generic group of cardinality N, the best known algorithm to solve the DLP has an exponential running time of O( p N).
CADO-NFS: An Implementation of The Number Field Sieve
Analogy to the Number Field Sieve Both Z and K[x] are Euclidean domains (and so principal ideal domains and so unique factorization domains and so normal domains). They share many algebraic properties. The field of fractions (the (total) quotient field) of Z Abstract In this paper, we propose two variants of the Number Field Sieve (NFS) to compute discrete logarithms in medium characteristic finite fields. We consider algorithms that combine two ideas, namely the Multiple variant of the Number Field Sieve (MNFS) taking advantage of a large number of number fields in the sieving phase, and two recent polynomial selections for the
Abstract. The Number Field Sieve (NFS) algorithm is the best known method to compute discrete logarithms (DL) in finite fields Fpn, with p medium to large and n 1 small. This algorithm comprises four steps: polynomial selection, relation collection, linear algebra and finally, indi-vidual logarithm computation. The first step outputs two polynomials defining two number fields, and a map
The lattice sieve is often used for a large-scaled experiment of solving DLP over F_p by the number field sieve. Franke and Kleinjung proposed a 2-dimensional lattice sieve which efficiently enumerates all the points in a given sieve region of the lattice.
Discrete logarithm problem (DLP) in a group G G is assumed to be cyclic. Given a = gx in G, find x. The DLP hardness depends on the group G. Summary Number Field Sieve for the DLP Tags Algorithmic Foundations and Cryptography Chapter Date published 2025 Date last modified 2025-02-26 Authors Antoine Joux Reynald Lercier Full Paper In this paper, we study several variations of the number field sieve to compute discrete logarithms in finite fields of the form $ {\mathbb F}_ {p^n}$, with a medium to large prime.
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Abstract. In this paper, we propose two variants of the Number Field Sieve (NFS) to compute discrete logarithms in medium characteristic nite elds. We consider algorithms that combine two ideas, namely the Multiple variant of the Number Field Sieve (MNFS) taking advantage of a large number of number elds in the sieving phase, and two re-cent polynomial selections for the Comparison with previous record (DLP-768, 232 digits, 2016): On identical hardware, our DLP-240 computation would have taken less time than the 232-digits computation. Function Field Sieve Basics The Function Field Sieve (FFS) is a popular algorithm used in number theory and cryptography for solving the discrete logarithm problem (DLP) in finite fields. In this section, we will provide an overview of the FFS algorithm, its components, and its complexity. Overview of the Algorithm and its Components The FFS algorithm is based on the
This parallel algorithm was used for the factorization records of RSA-240 and RSA-250, and for the DLP-240 discrete logarithm record. Keywords Number Field Sieve, Structured Gaussian Elimination, parallel algorithm
Abstract. Since 2016 and the introduction of the exTNFS (extended Tower Number Field Sieve) algorithm, the security of cryptosystems based on non-prime finite fields, mainly the paring and torus-based one, is being reassessed. The feasibility of the relation collection, a crucial step of the NFS variants, is especially investigated. It usually involves polynomials of degree one, i.e., a or ECM, and use CADO-NFS only for the remaining composite factor. Parts of the Number Field Sieve computation are massively distributed. In this mode, client scripts (namely, cado-nfs-client.py) are run on many nodes, connect to a central server, and run programs according to which computations need to be done. The programs (for the polynomial An adaption of the number field sieve for discrete loga-rithms in prime fields led to the function field sieve devised by Adleman and Huang [2, 3] and further developed by Joux and Lercier [18].
DLP algorithms The idea of the Number Field Sieve has been applied to obtain L 1 algorithms for the 3 DLP in various finite fields.
Kim et al. [23] proposed a new kind of NFS algorithm, the extended tower number field sieve (exTNFS), that reduces the complexity of solving DLP in a finite field. In our experiment, we discussed the dimension and size of sieve region suitable for the number field sieve over an extension field GF(p12). Finally we have solved the DLP over an extension field GF(p12) of 203 bits using a PC of 16 CPU cores in about 43 hours. Additionally, we extend the Franke-Kleinjung method to a three-dimensional sieve region. While no subexponential methods for DLP instances are known for some groups (including elliptic curves), nite elds are vulnerable to variants of the Number Field Sieve (NFS) algorithm. Getting more insight about the theoretical and the practical behaviour of NFS for non-prime elds is important in cryptography.
数域筛法(Number Field Sieve, NFS)是当前已知最快的整数分解算法,其核心原理通过构造代数数域将整数分解问题转化为代数关系寻找问题。该算法由J. Pollard提出原型,经A.K. Lenstra等人发展为通用数域筛法(GNFS),成功应用于费尔马数F7、F9的分解。在密码学领域,数域筛法能有效破解基于大整数分解
The strength of many security protocols lies on the computational intractability of the integer factorization and discrete logarithm problems. Currently, the best-known techniques employed are number field sieve (NFS) family of algorithms. They come under the class of sub-exponential time algorithms. This class of algorithms comprises of multiple steps. The relation Objectives: better understand how the Number Field Sieve works publish a state-of-the art implementation, not to break new records, but to routinely factor numbers of 155 digits use that code base to try new ideas and/or new algorithms
The number field sieve (NFS) started life as a factoring algorithm but was rapidly extended to compute discrete logarithms in Fp [33,19,20] and has today large number of variants. In 2000 Schirokauer [34] proposed the tower number field sieve (TNFS), as the first variant of NFS to solve DLP in fields Fpn with ANTOINE JOUX AND REYNALD LERCIER Abstract. In this paper, we describe many improvements to the number eld sieve. Our main contribution consists of a new way to compute individual log- arithms with the number eld sieve without solving a very large linear system for each logarithm. We show that, with these improvements, the number eld sieve
The hardness of discrete logarithm problem over finite fields is the security foundation of many cryptographic protocols. When the characteristic of the finite field is medium or large, the state-of-art algorithms for solving the corresponding problem are the number field sieve and its variants. In 2016, Kim and Barbulescu presented the extended tower number field
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