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Improving post-quantum cryptography through cryptanalysis

John M. Schanck

Published Jul 15, 2020• 2 citations
OpenAlex

Abstract

Large quantum computers pose a threat to our public-key cryptographic infrastructure. The possible responses are: \n \nDo nothing; accept the fact that quantum computers might be used to break widely deployed protocols. \nMitigate the threat by switching entirely to symmetric-key protocols. \nMitigate the threat by switching to different public-key protocols. \n \nEach user of public-key cryptography will make one of these choices, and we should not expect consensus. Some users will do nothing---perhaps because they view the threat as being too remote. And some users will find that they never needed public-key cryptography in the first place. \n \nThe work that I present here is for people who need public-key cryptography and want to switch to new protocols. Each of the three articles raises the security estimate of a cryptosystem by showing that some attack is less effective than was previously believed. Each article thereby reduces the cost of using a protocol by letting the user choose smaller (or more efficient) parameters at a fixed level of security. \n \nIn Part 1, I present joint work with Samuel Jaques in which we revise security estimates for the Supersingular Isogeny Key Exchange (SIKE) protocol. We show that known quantum claw-finding algorithms do not outperform classical claw-finding algorithms. This allows us to recommend 434-bit primes for use in SIKE at the same security level that 503-bit primes had previously been recommended. \n \nIn Part 2, I present joint work with Martin Albrecht, Vlad Gheorghiu, and Eamonn Postelthwaite that examines the impact of quantum search on sieving algorithms for the shortest vector problem. Cryptographers commonly assume that the cost of solving the shortest vector problem in dimension $d$ is $2^{(0.265\\ldots +o(1))d}$ quantumly and $2^{(0.292\\ldots + o(1))d}$ classically. These are upper bounds based on a near neighbor search algorithm due to Becker--Ducas--Gama--Laarhoven. Naively, one might think that $d$ must be at least $483 (\\approx 128/0.265)$ to avoid attacks that cost fewer than $2^{128}$ operations. Our analysis accounts for terms in the $o(1)$ that were previously ignored. In a realistic model of quantum computation, we find that applying the Becker--Ducas--Gama--Laarhoven algorithm in dimension $d > 376$ will cost more than $2^{128}$ operations. We also find reason to believe that the classical algorithm will outperform the quantum algorithm in dimensions $d < 288$. \n \nIn Part 3, I present solo work on a variant of post-quantum RSA. The original pqRSA proposal by Bernstein--Heninger--Lou--Valenta uses terabyte keys of the form $n = p_1p_2p_3p_4\\cdots p_i\\cdots p_{2^{31}}$ where each $p_i$ is a $4096$-bit prime. My variant uses terabyte keys of the form $n = p_1^2p_2^3p_3^5p_4^7\\cdots p_i^{\\pi_i}\\cdots p_{20044}^{225287}$ where each $p_i$ is a $4096$-bit prime and $\\pi_i$ is the $i$-th prime. Prime generation is the most expensive part of post-quantum RSA in practice, so the smaller number of prime factors in my proposal gives a large speedup in key generation. The repeated factors help an attacker identify an element of small order, and thereby allow the attacker to use a small-order variant of Shor's algorithm. I analyze small-order attacks and discuss the cost of the classical pre-computation that they require.

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Large quantum computers pose a threat to our public-key cryptographic infrastructure. The possible responses are: \n \nDo nothing; accept the fact that quantum computers might be used to break widely deployed protocols. \nMitigate the threat by switching entirely to symmetric-key protocols. \nMitigate the threat by switching to different public-key protocols. \n \nEach user of public-key cryptography will make one of these choices, and we should not expect consensus. Some users will do nothing---perhaps because they view the threat as being too remote. And some users will find that they never needed public-key cryptography in the first place. \n \nThe work that I present here is for people who need public-key cryptography and want to switch to new protocols. Each of the three articles raises the security estimate of a cryptosystem by showing that some attack is less effective than was previously believed. Each article thereby reduces the cost of using a protocol by letting the user choose smaller (or more efficient) parameters at a fixed level of security. \n \nIn Part 1, I present joint work with Samuel Jaques in which we revise security estimates for the Supersingular Isogeny Key Exchange (SIKE) protocol. We show that known quantum claw-finding algorithms do not outperform classical claw-finding algorithms. This allows us to recommend 434-bit primes for use in SIKE at the same security level that 503-bit primes had previously been recommended. \n \nIn Part 2, I present joint work with Martin Albrecht, Vlad Gheorghiu, and Eamonn Postelthwaite that examines the impact of quantum search on sieving algorithms for the shortest vector problem. Cryptographers commonly assume that the cost of solving the shortest vector problem in dimension ddd is 2(0.265ldots+o(1))d2^{(0.265\\ldots +o(1))d}2(0.265ldots+o(1))d quantumly and 2(0.292ldots+o(1))d2^{(0.292\\ldots + o(1))d}2(0.292ldots+o(1))d classically. These are upper bounds based on a near neighbor search algorithm due to Becker--Ducas--Gama--Laarhoven. Naively, one might think that ddd must be at least 483(approx128/0.265)483 (\\approx 128/0.265)483(approx128/0.265) to avoid attacks that cost fewer than 21282^{128}2128 operations. Our analysis accounts for terms in the o(1)o(1)o(1) that were previously ignored. In a realistic model of quantum computation, we find that applying the Becker--Ducas--Gama--Laarhoven algorithm in dimension d>376d > 376d>376 will cost more than 21282^{128}2128 operations. We also find reason to believe that the classical algorithm will outperform the quantum algorithm in dimensions d<288d < 288d<288. \n \nIn Part 3, I present solo work on a variant of post-quantum RSA. The original pqRSA proposal by Bernstein--Heninger--Lou--Valenta uses terabyte keys of the form n=p1p2p3p4cdotspicdotsp231n = p_1p_2p_3p_4\\cdots p_i\\cdots p_{2^{31}}n=p1​p2​p3​p4​cdotspi​cdotsp231​ where each pip_ipi​ is a 409640964096-bit prime. My variant uses terabyte keys of the form n=p12p23p35p47cdotspipiicdotsp20044225287n = p_1^2p_2^3p_3^5p_4^7\\cdots p_i^{\\pi_i}\\cdots p_{20044}^{225287}n=p12​p23​p35​p47​cdotspipii​​cdotsp20044225287​ where each pip_ipi​ is a 409640964096-bit prime and pii\\pi_ipii​ is the iii-th prime. Prime generation is the most expensive part of post-quantum RSA in practice, so the smaller number of prime factors in my proposal gives a large speedup in key generation. The repeated factors help an attacker identify an element of small order, and thereby allow the attacker to use a small-order variant of Shor's algorithm. I analyze small-order attacks and discuss the cost of the classical pre-computation that they require.
Quantum computing poses a fundamental threat to modern cryptographic protocols by exploiting quantum algorithms that surpass classical computational limits. Shor’s algorithm can efficiently factor large integers, breaking RSA and other public-key cryptosystems, while Grover’s algorithm accelerates brute-force attacks against symmetric encryption. As quantum hardware advances, traditional cryptographic schemes risk obsolescence, necessitating the development of quantum-resistant cryptographic techniques. This paper explores the theoretical foundations of quantum cryptanalysis, examining key algorithms, their implications for cybersecurity, and the current state of post-quantum cryptographic solutions. By analyzing resource estimates for quantum attacks and potential mitigation strategies, this study provides a comprehensive overview of the evolving cryptographic landscape in the quantum era.
This paper investigates the potential impact of quantum computing on the security of currently deployed cryptographic algorithms. The core premise is that the advent of powerful quantum computers, leveraging algorithms like Shor's algorithm and Grover's algorithm, poses a significant threat to widely used public-key cryptosystems and symmetric-key algorithms. We present a theoretical analysis of several key algorithms – RSA, ECC, and AES – examining their vulnerabilities when subjected to quantum attacks. Specifically, we explore the exponential speedup offered by Shor's algorithm for factoring large numbers, the impact on the key size of ECC, and the Grover's algorithm's influence on symmetric key search. Our work highlights the urgency of transitioning to post-quantum cryptography standards to mitigate the risks posed by this technological advancement. The goal is to provide a comprehensive understanding of the landscape of quantum cryptanalysis and its implications for the future of secure communication.
The advent of quantum computing poses an existential threat to classical cryptographic systems. Shor’s algorithm (1994) can factor large integers and compute discrete logarithms in polynomial time, breaking widely used schemes like RSA, ECC, and Diffie-Hellman. This paper surveys the state-of-the-art in quantum cryptanalysis, examining its impact on symmetric and asymmetric cryptography, recent progress in quantum attacks, and defenses via post-quantum cryptography (PQC). We analyze key quantum algorithms (Shor’s, Grover’s), their real-world feasibility given current hardware (NISQ-era limitations), and emerging PQC standards (NIST’s CRYSTALS-Kyber, Dilithium). We also discuss novel attack vectors (e.g., hybrid quantum-classical cryptanalysis) and future research directions.
Quantum algorithms can break factoring and discrete logarithm based cryptography and weaken symmetric cryptography and hash functions. In order to estimate the real-world impact of these attacks, apart from tracking the development of fault-tolerant quantum computers it is important to have an estimate of the resources needed to implement these quantum attacks. For attacking symmetric cryptography and hash functions, generic quantum attacks are substantially less powerful than they are for today's public-key cryptography. So security will degrade gradually as quantum computing resources increase. At present, there is a substantial resource overhead due to the cost of fault-tolerant quantum error correction. We provide estimates of this overhead using state-of-the-art methods in quantum fault-tolerance. We use state-of-the-art optimized circuits, though further improvements in their implementation would also reduce the resources needed to implement these attacks. To bound the potential impact of further circuit optimizations we provide cost estimates assuming trivial-cost implementations of these functions. These figures indicate the effective bit-strength of the various symmetric schemes and hash functions based on what we know today (and with various assumptions on the quantum hardware), and frame the various potential improvements that should continue to be tracked. As an example, we also look at the implications for Bitcoin's proof-of-work system. For many of the currently used asymmetric (public-key) cryptographic schemes based on RSA and elliptic curve discrete logarithms, we again provide cost estimates based on the latest advances in cryptanalysis, circuit compilation and quantum fault-tolerance theory. These allow, for example, a direct comparison of the quantum vulnerability of RSA and elliptic curve cryptography for a fixed classical bit strength.
The rapid growth of quantum computing poses a critical threat to classical cryptographic systems. That is due in large part to the fact that they represent efficient solutions for some of the most challenging mathematical problems such as integer factoring or finding discrete logarithms. Schemes currently in wide use including RSA, Diffie–Hellman, and elliptic curve cryptography are particularly susceptible to being attacked by quantum computers, using algorithms like Shor's Algorithm and Grover's Algorithm. The advent of post-quantum cryptography (PQC) provides a promising potential answer to providing longterm security from adversaries using quantum computing capabilities. This paper presents a comprehensive state-of-the-art review of various PQC techniques currently being researched, including lattice-based methods, code-based methods, multivariate methods, hash-based methods, and isogeny-based methods. key challenges that will need to be addressed include computational overhead, large key sizes and implementation complexity. Furthermore the study reviews the current standardization efforts by the National Institute of Standards and Technology related to PQC and discusses some of the very specific practical considerations that need to be considered before widely deploying these techniques. The paper concludes by a complete list of existing research challenges and proposed future work that will assist in the development of efficient and scalable systems that will resist attacks from quantum computers.
This dissertation analyzes the impact of quantum computing on the security of classical cryptographic systems, with a focus on the vulnerability of the RSA algorithm. RSA cryptography is based on the difficulty of factoring large prime numbers, a task considered computationally very difficulty for classical computers. However, with quantum computing, especially through Shor’s algorithm—this barrier can be overcome. Shor’s algorithm allows factorization in polynomial time, which would completely compromise the security of RSA.The dissertation presents the theoretical foundations of both cryptography and quantum computing, explaining key concepts such as qubits, superposition, entanglement, and quantum parallelism. It details the operation of Shor’s algorithm, from identifying the period of the modular exponential function to applying the Quantum Fourier Transform (QFT) and phase estimation to obtain the prime factors of a composite number.In addition to the theoretical component, the work includes practical implementations of the algorithm in both classical and simulated quantum environments, using IBM’s Qiskit library. Finally, it discusses post-quantum cryptography as a secure alternative in light of technological advancements, highlighting methods based on lattices, codes, hash functions, and multivariate systems.The conclusion emphasizes the urgency of adopting cryptographic systems resistant to quantum computing, as ongoing advances increasingly make the breaking of RSA a realistic threat. Post-quantum cryptography is mentioned as a necessary response to the challenge posed by quantum computing.In conclusion, although current quantum computers do not yet have sufficient power to break RSA in practice, technological progress is steadily bringing that scenario closer. Therefore, it is essential to develop and adopt quantum-resistant cryptographic systems to ensure information security in the coming decades.