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Quantum Randomness in Cryptography—A Survey of Cryptosystems, RNG-Based Ciphers, and QRNGs

Anish Saini, Athanasios Tsokanos, Raimund Kirner

2022Information26 citationsDOIOpen Access PDF

Abstract

Cryptography is the study and practice of secure communication with digital data and focuses on confidentiality, integrity, and authentication. Random number generators (RNGs) generate random numbers to enhance security. Even though the cryptographic algorithms are public and their strength depends on the keys, cryptoanalysis of encrypted ciphers can significantly contribute to the unveiling of the cipher’s key. Therefore, to ensure high data security over a network, researchers need to improve the randomness of keys as they develop cryptosystems. Quantum particles have a leading edge in advancing RNG technology as they can provide true randomness, unlike pseudo-random numbers generators (PRNGs). In order to increase the level of the security of cryptographic systems based on random numbers, this survey focuses on three objectives: Cryptosystems with related cryptographic attacks, RNG-based cryptosystems, and the design of quantum random number generators (QRNGs). This survey aims to provide researchers with information about the importance of RNG-based ciphers and various research techniques for QRNGs that can incorporate quantum-based true randomness in cryptosystems.

Topics & Concepts

CryptosystemRandom number generationRandomnessCryptographyComputer scienceCipherTheoretical computer scienceEncryptionQuantum cryptographyComputer securityQuantumMathematicsQuantum informationPhysicsStatisticsQuantum mechanicsChaos-based Image/Signal EncryptionCryptographic Implementations and SecurityComputability, Logic, AI Algorithms
Quantum Randomness in Cryptography—A Survey of Cryptosystems, RNG-Based Ciphers, and QRNGs | Litcius