Discrete Logarithm Cryptography

The security of many cryptographic schemes relies on the intractability of the discrete logarithm problem (DLP) in groups. The most commonly used groups to deploy such schemes are the multiplicative (sub)groups of finite fields and (hyper)elliptic curve groups over finite fields. The elements of these groups can be easily represented in a computer and the group arithmetic can be efficiently implemented. In this thesis we first study certain subgroups of characteristic-two and characteristic-three finite field groups, with the goal of obtaining more efficient representation of elements and more efficient arithmetic in the corresponding groups. In particular, we propose new compression techniques and exponentiation algorithms, and discuss some potential benefits and applications. Having mentioned that intractability of DLP is a basis for building cryptographic protocols, one should also take into consideration how a system is implemented. It has been shown that realistic (validation) attacks can be mounted against elliptic curve cryptosystems in the case that group membership testing is omitted. In the second part of the thesis, we extend the notion of validation attacks from elliptic curves to hyperelliptic curves, and show that singular curves can be used effectively in such attacks. Finally, we tackle a specific location-privacy problem called the nearby friend problem. We formalize the security model and then propose a new protocol and its extensions that solve the problem in the proposed security model. An interesting feature of the protocol is that it does not depend on any cryptographic primitive and its security is primarily based on the intractability of the DLP. Our solution provides a new approach to solve the nearby friend problem and compares favorably with the earlier solutions to this problem

Weakness of F_{3^{6*509}} for Discrete Logarithm Cryptography

In 2013, Joux, and then Barbulescu, Gaudry, Joux and Thomé, presented new algorithms for computing discrete logarithms in finite fields of small and medium characteristic. We show that these new algorithms render the finite field F_{3^{6*509}} = F_{3^{3054}} weak for discrete logarithm cryptography in the sense that discrete logarithms in this field can be computed significantly faster than with the previous fastest algorithms. Our concrete analysis shows that the supersingular elliptic curve over F_{3^{509}} with embedding degree 6 that had been considered for implementing pairing-based cryptosystems at the 128-bit security level in fact provides only a significantly lower level of security. Our work provides a convenient framework and tools for performing a concrete analysis of the new discrete logarithm algorithms and their variants

Weakness of F_{3^{6*1429}} and F_{2^{4*3041}} for Discrete Logarithm Cryptography

In 2013, Joux and then Barbulsecu et al. presented new algorithms for computing discrete logarithms in finite fields of small characteristic. Shortly thereafter, Adj et al. presented a concrete analysis showing that, when combined with some steps from classical algorithms, the new algorithms render the finite field F_{3^{6*509}} weak for pairing-based cryptography. Granger and Zumbragel then presented a modification of the new algorithms that extends their effectiveness to a wider range of fields. In this paper, we study the effectiveness of the new algorithms combined with a carefully crafted descent strategy for the fields F_{3^{6*1429}} and F_{2^{4*3041}}. The intractability of the discrete logarithm problem in these fields is necessary for the security of pairings derived from supersingular curves with embedding degree 6 and 4 defined, respectively, over F_{3^{1429}} and F_{2^{3041}}; these curves were believed to enjoy a security level of 192 bits against attacks by Coppersmith\u27s algorithm. Our analysis shows that these pairings offer security levels of at most 96 and 129 bits, respectively, leading us to conclude that they are dead for pairing-based cryptography

Authorization Framework for the Internet-of-Things

This paper describes a framework that allows fine-grained and flexible access control to connected devices with very limited processing power and memory. We propose a set of security and performance requirements for this setting and derive an authorization framework distributing processing costs between constrained devices and less constrained back-end servers while keeping message exchanges with the constrained devices at a minimum. As a proof of concept we present performance results from a prototype implementing the device part of the framework

Crypto-test-lab for security validation of ECC co-processor test infrastructure

© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksElliptic Curve Cryptography (ECC) is a technology for public-key cryptography that is becoming increasingly popular because it provides greater speed and implementation compactness than other public-key technologies. Calculations, however, may not be executed by software, since it would be so time consuming, thus an ECC co-processor is commonly included to accelerate the speed. Test infrastructure in crypto co-processors is often avoided because it poses serious security holes against adversaries. However, ECC co-processors include complex modules for which only functional test methodologies are unsuitable, because they would take an unacceptably long time during the production test. Therefore, some internal test infrastructure is always included to permit the application of structural test techniques. Designing a secure test infrastructure is quite a complex task that relies on the designer's experience and on trial & error iterations over a series of different types of attacks. Most of the severe attacks cannot be simulated because of the demanding computational effort and the lack of proper attack models. Therefore, prototypes are prepared using FPGAs. In this paper, a Crypto-Test-Lab is presented that includes an ECC co-processor with flexible test infrastructure. Its purpose is to facilitate the design and validation of secure strategies for testing in this type of co-processor.Postprint (author's final draft

An Elliptic Curve-based Signcryption Scheme with Forward Secrecy

An elliptic curve-based signcryption scheme is introduced in this paper that effectively combines the functionalities of digital signature and encryption, and decreases the computational costs and communication overheads in comparison with the traditional signature-then-encryption schemes. It simultaneously provides the attributes of message confidentiality, authentication, integrity, unforgeability, non-repudiation, public verifiability, and forward secrecy of message confidentiality. Since it is based on elliptic curves and can use any fast and secure symmetric algorithm for encrypting messages, it has great advantages to be used for security establishments in store-and-forward applications and when dealing with resource-constrained devices.Comment: 13 Pages, 5 Figures, 2 Table

Homomorphic Encryption for Speaker Recognition: Protection of Biometric Templates and Vendor Model Parameters

Data privacy is crucial when dealing with biometric data. Accounting for the latest European data privacy regulation and payment service directive, biometric template protection is essential for any commercial application. Ensuring unlinkability across biometric service operators, irreversibility of leaked encrypted templates, and renewability of e.g., voice models following the i-vector paradigm, biometric voice-based systems are prepared for the latest EU data privacy legislation. Employing Paillier cryptosystems, Euclidean and cosine comparators are known to ensure data privacy demands, without loss of discrimination nor calibration performance. Bridging gaps from template protection to speaker recognition, two architectures are proposed for the two-covariance comparator, serving as a generative model in this study. The first architecture preserves privacy of biometric data capture subjects. In the second architecture, model parameters of the comparator are encrypted as well, such that biometric service providers can supply the same comparison modules employing different key pairs to multiple biometric service operators. An experimental proof-of-concept and complexity analysis is carried out on the data from the 2013-2014 NIST i-vector machine learning challenge