This paper studies quantum linear key-recovery attacks on block ciphers. The first such attacks were last-rounds attacks proposed by Kaplan et al. (ToSC 2016), which combine a linear distinguisher with a guess of a partial key. However, the most efficient classical attacks use the framework proposed by Collard et al. (ICISC 2007), which computes experimental correlations using the Fast Walsh-Hadamard Transform. Recently, Schrottenloher (CRYPTO 2023) proposed a quantum version of this technique, in which one uses the available data to create a quantum correlation state, which is a superposition of subkey candidates where the amplitudes are the corresponding correlations. A limitation is that the good subkey is not marked in this state, and cannot be found easily.In this paper, we combine the correlation state with another distinguisher. From here, we can use Amplitude Amplification to recover the right key. We apply this idea to Feistel ciphers and exemplify different attack strategies on LOKI91 before applying our idea on the CAST-128 and CAST-256 ciphers. We demonstrate the approach with two kinds of distinguishers, quantum distinguishers based on Simon’s algorithm and linear distinguishers. The resulting attacks outperform the previous Grover-meet-Simon attacks.
This paper studies quantum linear key-recovery attacks on block ciphers. The first such attacks were last-rounds attacks proposed by Kaplan et al. (ToSC 2016), which combine a linear distinguisher with a guess of a partial key. However, the most efficient classical attacks use the framework proposed by Collard et al. (ICISC 2007), which computes experimental correlations using the Fast Walsh-Hadamard Transform. Recently, Schrottenloher (CRYPTO 2023) proposed a quantum version of this technique, in which one uses the available data to create a quantum correlation state, which is a superposition of subkey candidates where the amplitudes are the corresponding correlations. A limitation is that the good subkey is not marked in this state, and cannot be found easily.In this paper, we combine the correlation state with another distinguisher. From here, we can use Amplitude Amplification to recover the right key. We apply this idea to Feistel ciphers and exemplify different attack strategies on LOKI91 before applying our idea on the CAST-128 and CAST-256 ciphers. We demonstrate the approach with two kinds of distinguishers, quantum distinguishers based on Simon’s algorithm and linear distinguishers. The resulting attacks outperform the previous Grover-meet-Simon attacks.
This paper focuses on quantum key-recovery attacks on block ciphers. Previous works on quantum differential and truncated differential attacks like [Kaplan et al., ToSC 2016] have shown that classical algorithms for key-recovery, typically based on generating differential pairs and sieving them, can be accelerated by up to a quadratic speedup using variants of quantum search, quantum amplitude amplification, and quantum collision-finding.>br/> In this paper, we introduce a new quantum truncated differential key-recovery attack, which leverages the quantum convolution algorithm introduced in [Schrottenloher, CRYPTO 2022] and previously used in linear cryptanalysis. We adapt this algorithm to the case of differential cryptanalysis, by rewriting the probability of a differential of an n-bit cipher as a convolution of functions with 2n-bit input. We then construct a quantum state whose amplitudes encode the probability of the differential for different key guesses, and use this as the starting point of a quantum search. In some cases (although not on practical ciphers so far), the speedup is better than quadratic compared to classical attacks. We also extend the framework to related-key differential attacks.We give applications to a 9-round attack on QARMAv2-64 adapted from [Ahmadian et al., DCC 2024] and a 12-round related-key attack on AES-256 from [Boura et al., CRYPTO 2023], which show improvement over classical attacks and over Kaplan et al.’s strategy when taking into account the amount of memory and the type of quantum memory used (as our attack requires only quantum-accessible classical memory).
With the rapid advancement of quantum computing, the security of traditional cryptographic systems is facing significant challenges. As a fundamental component of symmetric cryptography, block ciphers have attracted increasing attention regarding their quantum security in recent years.
In this paper, we propose new quantum attacks on two Feistel-type constructions, i.e., New Structure IV and the lightweight block cipher LBlock, under the quantum chosen-plaintext attack (qCPA) model. First, we construct an 8-round quantum distinguisher for New Structure IV and perform an r(r>12)-round quantum key-recovery attack. Compared with Li et al.'s qCPA-based result presented at INSCRYPT 2024, our attack reduces the time complexity by a factor of 2n/2, where n denotes the subkey length. Second, we design a 9-round quantum distinguisher for LBlock and extend it to an r(r>15)-round quantum key-recovery attack. The proposed quantum distinguisher covers one more round than Liu et al.'s automated-search distinguisher at ASIACRYPT 2025, which results in a 216 reduction in the time complexity of our r-round quantum key-recovery attack on LBlock. Furthermore, by analyzing the structure of the round function and the key scheduling of LBlock, we reduce the subkey guess space for the 15-round attack from 76 bits to 52 bits, lowering the time complexity from O(238) to O(226) by a factor of 212.
It has been said that security of symmetric key schemes is not so much affected by quantum computers, compared to public key schemes. However, recent works revealed that, in some specific situations, symmetric key schemes are also broken in polynomial time by adversaries with quantum computers. These works contain a quantum distinguishing attack on 3-round Feistel ciphers and a quantum key recovery attack on the Even-Mansour cipher by Kuwakado and Morii, in addition to the quantum forgery attack on CBC-MAC which is proposed independently by Kaplan et al., and by Santoli and Schaffner. Iterated Even-Mansour cipher is a simple but important block cipher, which can be regarded as an idealization of AES. Whether there exists an efficient quantum algorithm that can break iterated Even-Mansour cipher with independent subkeys is an important problem from the viewpoint of analyzing post-quantum security of block ciphers. Actually there is an efficient quantum attack on iterated Even-Mansour cipher by Kaplan et al., but their attack can only be applied in the case that all subkeys are the same. This paper shows that there is a polynomial time quantum algorithm that recovers partial keys of the iterated Even-Mansour cipher with independent subkeys, in a related-key setting. The related-key condition is somewhat strong, but our algorithm can recover subkeys with two related oracles. In addition, we also show that our algorithm can recover all keys of the i-round iterated Even-Mansour cipher, if we are allowed to access i related quantum oracles. To realize quantum related-key attacks, we extend Simon's quantum algorithm so that we can recover the hidden period of a function that is periodic only up to constant. Our technique is to take differential of the target function to make a double periodic function, and then apply Simon's algorithm.
ABSTRACT Since the proposal of the Grover algorithm in 1996, which first combined quantum algorithms with symmetric cryptanalysis, significant progress has been made in the quantization of classical cryptanalysis methods. Differential‐linear cryptanalysis is a hybrid technique combining differential and linear cryptanalysis; however, there has been no prior work on its quantization. This paper presents a quantum differential‐linear key recovery attack framework. We apply this framework to Simon32/64 and Simeck32/64. Considering that the experimental correlation distribution of the differential‐linear distinguisher significantly affects the complexity of quantum attacks, we measure the experimental correlation distributions of Simon32/64 and Simeck32/64. We conduct a quantum differential‐linear key recovery attack on 19‐round Simon32/64. Under the Q1 model, the time complexity of the attack is , the data complexity is , the memory complexity is and the success rate is 60.96%, which achieves the lowest time, memory, and data complexities among all existing 19‐round quantum attacks. In the Q2 model, the time complexity reduces to , with negligible memory complexity. For Simeck32/64, we present a 20‐round quantum key recovery attack under the Q2 model, which is the first quantum key recovery attack on this block cipher.
Abstract Quantum attacks employing superposition queries (Q2 model) have been demonstrated to compromise numerous classically secure block-cipher constructions. These attacks embed the target encryption structure into a period-finding problem, which dedicated quantum algorithms, including the Simon and BV algorithms, can solve. After restoring the secret state, attackers can launch an attack by recovering the key (the secret state contains key information) or distinguishing it from random permutations. In this paper, we investigate the quantum security of Feistel-like ciphers in a related-key setting. For several constructions, we demonstrate how to define a periodic function that can be evaluated using the Simon algorithm with only O(n) O ( n ) quantum queries to the encryption oracle, where n represents the block size. This enables secret-state recovery attacks on Type-1/2 generalized Feistel schemes, as well as key-recovery attacks on the Feistel-FK and Misty L-KF constructions. All these attacks achieve an exponential reduction in query complexity compared to the best known classical or quantum methods.
Block cryptanalysis has a major breakthrough in the model of superposition queries. For instance, Simon’s algorithm can efficiently break various constructions. In practice, Bernstein-Vaziran’s algorithm can also realize the periodic search of the vector function. Moreover, in some cases, it can have more advantages than the Simon’s algorithm.In the context of this study, we present an algorithm that combines Grover’s and Bernstein-Vazirani’s quantum algorithms. This algorithm empowers us to carry out key recovery attacks on Feistel structures. on Feistel structures, FX construction and Even Mansour construction. We exploit cryptosystems’ algebraic structure to launch successful key recovery attacks, considering that quantum attackers can only make classical queries. Through comparison, it can be concluded that this algorithm has stronger practicability in attacking block ciphers.