Realizing arbitrary-precision modular multiplication with a fixed-precision multiplier datapath

Within the context of cryptographic hardware, the term scalability refers to the ability to process operands of any size, regardless of the precision of the underlying data path or registers. In this paper we present a simple yet effective technique for increasing the scalability of a fixed-precision Montgomery multiplier. Our idea is to extend the datapath of a Montgomery multiplier in such a way that it can also perform an ordinary multiplication of two n-bit operands (without modular reduction), yielding a 2n-bit result. This conventional (nxn->2n)-bit multiplication is then used as a “sub-routine” to realize arbitrary-precision Montgomery multiplication according to standard software algorithms such as Coarsely Integrated Operand Scanning (CIOS). We show that performing a 2n-bit modular multiplication on an n-bit multiplier can be done in 5n clock cycles, whereby we assume that the n-bit modular multiplication takes n cycles. Extending a Montgomery multiplier for this extra functionality requires just some minor modifications of the datapath and entails a slight increase in silicon area

Tamper-Resistant Arithmetic for Public-Key Cryptography

Cryptographic hardware has found many uses in many ubiquitous and pervasive security devices with a small form factor, e.g. SIM cards, smart cards, electronic security tokens, and soon even RFIDs. With applications in banking, telecommunication, healthcare, e-commerce and entertainment, these devices use cryptography to provide security services like authentication, identification and confidentiality to the user. However, the widespread adoption of these devices into the mass market, and the lack of a physical security perimeter have increased the risk of theft, reverse engineering, and cloning. Despite the use of strong cryptographic algorithms, these devices often succumb to powerful side-channel attacks. These attacks provide a motivated third party with access to the inner workings of the device and therefore the opportunity to circumvent the protection of the cryptographic envelope. Apart from passive side-channel analysis, which has been the subject of intense research for over a decade, active tampering attacks like fault analysis have recently gained increased attention from the academic and industrial research community. In this dissertation we address the question of how to protect cryptographic devices against this kind of attacks. More specifically, we focus our attention on public key algorithms like elliptic curve cryptography and their underlying arithmetic structure. In our research we address challenges such as the cost of implementation, the level of protection, and the error model in an adversarial situation. The approaches that we investigated all apply concepts from coding theory, in particular the theory of cyclic codes. This seems intuitive, since both public key cryptography and cyclic codes share finite field arithmetic as a common foundation. The major contributions of our research are (a) a generalization of cyclic codes that allow embedding of finite fields into redundant rings under a ring homomorphism, (b) a new family of non-linear arithmetic residue codes with very high error detection probability, (c) a set of new low-cost arithmetic primitives for optimal extension field arithmetic based on robust codes, and (d) design techniques for tamper resilient finite state machines

Sequential Circuit Design for Embedded Cryptographic Applications Resilient to Adversarial Faults

In the relatively young field of fault-tolerant cryptography, the main research effort has focused exclusively on the protection of the data path of cryptographic circuits. To date, however, we have not found any work that aims at protecting the control logic of these circuits against fault attacks, which thus remains the proverbial Achilles’ heel. Motivated by a hypothetical yet realistic fault analysis attack that, in principle, could be mounted against any modular exponentiation engine, even one with appropriate data path protection, we set out to close this remaining gap. In this paper, we present guidelines for the design of multifault-resilient sequential control logic based on standard Error-Detecting Codes (EDCs) with large minimum distance. We introduce a metric that measures the effectiveness of the error detection technique in terms of the effort the attacker has to make in relation to the area overhead spent in implementing the EDC. Our comparison shows that the proposed EDC-based technique provides superior performance when compared against regular N-modular redundancy techniques. Furthermore, our technique scales well and does not affect the critical path delay

A high-speed integrated circuit with applications to RSA Cryptography

Merged with duplicate record 10026.1/833 on 01.02.2017 by CS (TIS)The rapid growth in the use of computers and networks in government, commercial and private communications systems has led to an increasing need for these systems to be secure against unauthorised access and eavesdropping. To this end, modern computer security systems employ public-key ciphers, of which probably the most well known is the RSA ciphersystem, to provide both secrecy and authentication facilities. The basic RSA cryptographic operation is a modular exponentiation where the modulus and exponent are integers typically greater than 500 bits long. Therefore, to obtain reasonable encryption rates using the RSA cipher requires that it be implemented in hardware. This thesis presents the design of a high-performance VLSI device, called the WHiSpER chip, that can perform the modular exponentiations required by the RSA cryptosystem for moduli and exponents up to 506 bits long. The design has an expected throughput in excess of 64kbit/s making it attractive for use both as a general RSA processor within the security function provider of a security system, and for direct use on moderate-speed public communication networks such as ISDN. The thesis investigates the low-level techniques used for implementing high-speed arithmetic hardware in general, and reviews the methods used by designers of existing modular multiplication/exponentiation circuits with respect to circuit speed and efficiency. A new modular multiplication algorithm, MMDDAMMM, based on Montgomery arithmetic, together with an efficient multiplier architecture, are proposed that remove the speed bottleneck of previous designs. Finally, the implementation of the new algorithm and architecture within the WHiSpER chip is detailed, along with a discussion of the application of the chip to ciphering and key generation

Versatile Montgomery Multiplier Architectures

Several algorithms for Public Key Cryptography (PKC), such as RSA, Diffie-Hellman, and Elliptic Curve Cryptography, require modular multiplication of very large operands (sizes from 160 to 4096 bits) as their core arithmetic operation. To perform this operation reasonably fast, general purpose processors are not always the best choice. This is why specialized hardware, in the form of cryptographic co-processors, become more attractive. Based upon the analysis of recent publications on hardware design for modular multiplication, this M.S. thesis presents a new architecture that is scalable with respect to word size and pipelining depth. To our knowledge, this is the first time a word based algorithm for Montgomery\u27s method is realized using high-radix bit-parallel multipliers working with two different types of finite fields (unified architecture for GF(p) and GF(2n)). Previous approaches have relied mostly on bit serial multiplication in combination with massive pipelining, or Radix-8 multiplication with the limitation to a single type of finite field. Our approach is centered around the notion that the optimal delay in bit-parallel multipliers grows with logarithmic complexity with respect to the operand size n, O(log3/2 n), while the delay of bit serial implementations grows with linear complexity O(n). Our design has been implemented in VHDL, simulated and synthesized in 0.5μ CMOS technology. The synthesized net list has been verified in back-annotated timing simulations and analyzed in terms of performance and area consumption

Hardware Aspects of Montgomery Modular Multiplication

This chapter compares Peter Montgomery\u27s modular multiplication method with traditional techniques for suitability on hardware platforms. It also covers systolic array implementations and side channel leakage

High speed world level finite field multipliers in F2m

Finite fields have important applications in number theory, algebraic geometry, Galois theory, cryptography, and coding theory. Recently, the use of finite field arithmetic in the area of cryptography has increasingly gained importance. Elliptic curve and El-Gamal cryptosystems are two important examples of public key cryptosystems widely used today based on finite field arithmetic. Research in this area is moving toward finding new architectures to implement the arithmetic operations more efficiently. Two types of finite fields are commonly used in practice, prime field GF(p) and the binary extension field GF(2 m). The binary extension fields are attractive for high speed cryptography applications since they are suitable for hardware implementations. Hardware implementation of finite field multipliers can usually be categorized into three categories: bit-serial, bit-parallel, and word-level architectures. The word-level multipliers provide architectural flexibility and trade-off between the performance and limitations of VLSI implementation and I/O ports, thus it is of more practical significance. In this work, different word level architectures for multiplication using binary field are proposed. It has been shown that the proposed architectures are more efficient compared to similar proposals considering area/delay complexities as a measure of performance. Practical size multipliers for cryptography applications have been realized in hardware using FPGA or standard CMOS technology, to similar proposals considering area/delay complexities as a measure of performance. Practical size multipliers for cryptography applications have been realized in hardware using FPGA or standard CMOS technology. Also different VLSI implementations for multipliers were explored which resulted in more efficient implementations for some of the regular architectures. The new implementations use a simple module designed in domino logic as the main building block for the multiplier. Significant speed improvements was achieved designing practical size multipliers using the proposed methodology

Fast, compact and secure implementation of rsa on dedicated hardware

RSA is the most popular Public Key Cryptosystem (PKC) and is heavily used today. PKC comes into play, when two parties, who have previously never met, want to create a secure channel between them. The core operation in RSA is modular multiplication, which requires lots of computational power especially when the operands are longer than 1024-bits. Although today’s powerful PC’s can easily handle one RSA operation in a fraction of a second, small devices such as PDA’s, cell phones, smart cards, etc. have limited computational power, thus there is a need for dedicated hardware which is specially designed to meet the demand of this heavy calculation. Additionally, web servers, which thousands of users can access at the same time, need to perform many PKC operations in a very short time and this can create a performance bottleneck. Special algorithms implemented on dedicated hardware can take advantage of true massive parallelism and high utilization of the data path resulting in high efficiency in terms of both power and execution time while keeping the chip cost low. We will use the “Montgomery Modular Multiplication” algorithm in our implementation, which is considered one of the most efficient multiplication schemes, and has many applications in PKC. In the first part of the thesis, our “2048-bit Radix-4 based Modular Multiplier” design is introduced and compared with the conventional radix-2 modular multipliers of previous works. Our implementation for 2048-bit modular multiplication features up to 82% shorter execution time with 33% increase in the area over the conventional radix-2 designs and can achieve 132 MHz on a Xilinx xc2v6000 FPGA. The proposed multiplier has one of the fastest execution times in terms of latency and performs better than (37% better) our reference radix-2 design in terms of time-area product. The results are similar in the ASIC case where we implement our design for UMC 0.18 μm technology. In the second part, a fast, efficient, and parameterized modular multiplier and a secure exponentiation circuit intended for inexpensive FPGAs are presented. The design utilizes hardwired block multipliers as the main functional unit and Block-RAM as storage unit for the operands. The adopted design methodology allows adjusting the number of multipliers, the radix used in the multipliers, and number of words to meet the system requirements such as available resources, precision and timing constraints. The deployed method is based on the Montgomery modular multiplication algorithm and the architecture utilizes a pipelining technique that allows concurrent operation of hardwired multipliers. Our design completes 1020-bit and 2040-bit modular multiplications* in 7.62 μs and 27.0 μs respectively with approximately the same device usage on Xilinx Spartan-3E 500. The multiplier uses a moderate amount of system resources while achieving the best area-time product in literature. 2040-bit modular exponentiation engine easily fits into Xilinx Spartan-3E 500; moreover the exponentiation circuit withstands known side channel attacks with an insignificant overhead in area and execution time. The upper limit on the operand precision is dictated only by the available Block-RAM to accommodate the operands within the FPGA. This design is also compared to the first one, considering the relative advantages and disadvantages of each circuit

Modern Computer Arithmetic (version 0.5.1)

This is a draft of a book about algorithms for performing arithmetic, and their implementation on modern computers. We are concerned with software more than hardware - we do not cover computer architecture or the design of computer hardware. Instead we focus on algorithms for efficiently performing arithmetic operations such as addition, multiplication and division, and their connections to topics such as modular arithmetic, greatest common divisors, the Fast Fourier Transform (FFT), and the computation of elementary and special functions. The algorithms that we present are mainly intended for arbitrary-precision arithmetic. They are not limited by the computer word size, only by the memory and time available for the computation. We consider both integer and real (floating-point) computations. The book is divided into four main chapters, plus an appendix. Our aim is to present the latest developments in a concise manner. At the same time, we provide a self-contained introduction for the reader who is not an expert in the field, and exercises at the end of each chapter. Chapter titles are: 1, Integer Arithmetic; 2, Modular Arithmetic and the FFT; 3, Floating-Point Arithmetic; 4, Elementary and Special Function Evaluation; 5 (Appendix), Implementations and Pointers. The book also contains a bibliography of 236 entries, index, summary of notation, and summary of complexities.Comment: Preliminary version of a book to be published by Cambridge University Press. xvi+247 pages. Cite as "Modern Computer Arithmetic, Version 0.5.1, 5 March 2010". For further details, updates and errata see http://wwwmaths.anu.edu.au/~brent/pub/pub226.html or http://www.loria.fr/~zimmerma/mca/pub226.htm