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

Fast architectures for the ηT\eta_T pairing over small-characteristic supersingular elliptic curves

International audienceThis paper is devoted to the design of fast parallel accelerators for the cryptographic $\eta_T$ pairing on supersingular elliptic curves over finite fields of characteristics two and three. We propose here a novel hardware implementation of Miller's algorithm based on a parallel pipelined Karatsuba multiplier. After a short description of the strategies we considered to design our multiplier, we point out the intrinsic parallelism of Miller's loop and outline the architecture of coprocessors for the $\eta_T$ pairing over \F_{2^m} and \F_{3^m}. Thanks to a careful choice of algorithms for the tower field arithmetic associated with the $\eta_T$ pairing, we manage to keep the pipelined multiplier at the heart of each coprocessor busy. A final exponentiation is still required to obtain a unique value, which is desirable in most cryptographic protocols. We supplement our pairing accelerators with a coprocessor responsible for this task. An improved exponentiation algorithm allows us to save hardware resources. According to our place-and-route results on Xilinx FPGAs, our designs improve both the computation time and the area-time trade-off compared to previously published coprocessors

Fast Architectures for the ηT\eta_T Pairing over Small-Characteristic Supersingular Elliptic Curves

This paper is devoted to the design of fast parallel accelerators for the cryptographic $\eta_T$ pairing on supersingular elliptic curves over finite fields of characteristics two and three. We propose here a novel hardware implementation of Miller\u27s algorithm based on a parallel pipelined Karatsuba multiplier. After a short description of the strategies we considered to design our multiplier, we point out the intrinsic parallelism of Miller\u27s loop and outline the architecture of coprocessors for the $\eta_T$ pairing over $\mathbb{F}_{2^m}$ and $\mathbb{F}_{3^m}$. Thanks to a careful choice of algorithms for the tower field arithmetic associated with the $\eta_T$ pairing, we manage to keep the pipelined multiplier at the heart of each coprocessor busy. A final exponentiation is still required to obtain a unique value, which is desirable in most cryptographic protocols. We supplement our pairing accelerators with a coprocessor responsible for this task. An improved exponentiation algorithm allows us to save hardware resources. According to our place-and-route results on Xilinx FPGAs, our designs improve both the computation time and the area-time trade-off compared to previously published coprocessors

FPGA and ASIC Implementations of the ηT\eta_T Pairing in Characteristic Three

Since their introduction in constructive cryptographic applications, pairings over (hyper)elliptic curves are at the heart of an ever increasing number of protocols. As they rely critically on efficient algorithms and implementations of pairing primitives, the study of hardware accelerators became an active research area. In this paper, we propose two coprocessors for the reduced $\eta_T$ pairing introduced by Barreto {\it et al.} as an alternative means of computing the Tate pairing on supersingular elliptic curves. We prototyped our architectures on FPGAs. According to our place-and-route results, our coprocessors compare favorably with other solutions described in the open literature. We also present the first ASIC implementation of the reduced $\eta_T$ pairing

An algorithmic and architectural study on Montgomery exponentiation in RNS

The modular exponentiation on large numbers is computationally intensive. An effective way for performing this operation consists in using Montgomery exponentiation in the Residue Number System (RNS). This paper presents an algorithmic and architectural study of such exponentiation approach. From the algorithmic point of view, new and state-of-the-art opportunities that come from the reorganization of operations and precomputations are considered. From the architectural perspective, the design opportunities offered by well-known computer arithmetic techniques are studied, with the aim of developing an efficient arithmetic cell architecture. Furthermore, since the use of efficient RNS bases with a low Hamming weight are being considered with ever more interest, four additional cell architectures specifically tailored to these bases are developed and the tradeoff between benefits and drawbacks is carefully explored. An overall comparison among all the considered algorithmic approaches and cell architectures is presented, with the aim of providing the reader with an extensive overview of the Montgomery exponentiation opportunities in RNS

An FPGA-based programmable processor for bilinear pairings

Bilinear pairings on elliptic curves are an active research field in cryptography. First cryptographic protocols based on bilinear pairings were proposed by the year 2000 and they are promising solutions to security concerns in different domains, as in Pervasive Computing and Cloud Computing. The computation of bilinear pairings that relies on arithmetic over finite fields is the most time-consuming in Pairing-based cryptosystems. That has motivated the research on efficient hardware architectures that improve the performance of security protocols. In the literature, several works have focused in the design of custom hardware architectures for pairings, however, flexible designs provide advantages due to the fact that there are several types of pairings and algorithms to compute them. This work presents the design and implementation of a novel programmable cryptoprocessor for computing bilinear pairings over binary fields in FPGAs, which is able to support different pairing algorithms and parameters as the elliptic curve, the tower field and the distortion map. The results show that high flexibility is achieved by the proposed cryptoprocessor at a competitive timing and area usage when it is compared to custom designs for pairings defined over singular/supersingular elliptic curves at a 128-bit security level

Anonymous Attestation for IoT

Internet of Things (IoT) have seen tremendous growth and are being deployed pervasively in areas such as home, surveillance, health-care and transportation. These devices collect and process sensitive data with respect to user\u27s privacy. Protecting the privacy of the user is an essential aspect of security, and anonymous attestation of IoT devices are critical to enable privacy-preserving mechanisms. Enhanced Privacy ID (EPID) is an industry-standard cryptographic scheme that offers anonymous attestation. It is based on group signature scheme constructed from bilinear pairings, and provides anonymity and sophisticated revocation capabilities (private-key based revocation and signature-based revocation). Despite the interesting privacy-preserving features, EPID operations are very computational and memory intensive. In this paper, we present a small footprint anonymous attestation solution based on EPID that can meet the stringent resource requirements of IoT devices. A specific modular-reduction technique targeting the EPID prime number has been developed resulting in 50% latency reduction compared to conventional reduction techniques. Furthermore, we developed a multi-exponentiation technique that significantly reduces the runtime memory requirements. Our proposed design can be implemented as SW-only, or it can utilize an integrated Elliptic Curve and Galois Field HW accelerator. The EPID SW stack has a small object code footprint of 22kB. We developed a prototype on a 32-bit microcontroller that computes EPID signature generation in 17.9s at 32MHz

Hardware processors for pairing-based cryptography

Bilinear pairings can be used to construct cryptographic systems with very desirable properties. A pairing performs a mapping on members of groups on elliptic and genus 2 hyperelliptic curves to an extension of the finite field on which the curves are defined. The finite fields must, however, be large to ensure adequate security. The complicated group structure of the curves and the expensive field operations result in time consuming computations that are an impediment to the practicality of pairing-based systems. The Tate pairing can be computed efficiently using the ɳT method. Hardware architectures can be used to accelerate the required operations by exploiting the parallelism inherent to the algorithmic and finite field calculations. The Tate pairing can be performed on elliptic curves of characteristic 2 and 3 and on genus 2 hyperelliptic curves of characteristic 2. Curve selection is dependent on several factors including desired computational speed, the area constraints of the target device and the required security level. In this thesis, custom hardware processors for the acceleration of the Tate pairing are presented and implemented on an FPGA. The underlying hardware architectures are designed with care to exploit available parallelism while ensuring resource efficiency. The characteristic 2 elliptic curve processor contains novel units that return a pairing result in a very low number of clock cycles. Despite the more complicated computational algorithm, the speed of the genus 2 processor is comparable. Pairing computation on each of these curves can be appealing in applications with various attributes. A flexible processor that can perform pairing computation on elliptic curves of characteristic 2 and 3 has also been designed. An integrated hardware/software design and verification environment has been developed. This system automates the procedures required for robust processor creation and enables the rapid provision of solutions for a wide range of cryptographic applications

A FPGA pairing implementation using the Residue Number System

Recently, a lot of progresses have been made in software implementations of pairings at the 128-bit security level in large characteristic. In this work, we obtain analogous progresses for hardware implementations. For this, we use the RNS representation of numbers which is especially well suited for pairing computation in a hardware context. A FPGA implementation is proposed, based on an adaptation of Guillermin\u27s architecture which computes a pairing in 1.07 ms. It is 2 times faster than all previous hardware implementations (including ASIC and small characteristic implementations) and almost as fast as best software implementations