Randomness is crucial to enabling secure and robust communications. Ideally one should harness high entropy physical processes, but this is difficult so pseudorandomness is usually substituted for randomness. We introduce improved complexity randomness tests and use them to judge three pseudorandom bit generators; the AES block cipher (standard, strongly believed to be secure), the Dragon stream cipher (eStream finalist), and the GNU C library function rand(). We also test the output from a quantum random bit generator (QRBG). While the two ciphers can easily be distinguished from the much inferior rand(), the output statistics of the two classical generators are similar to that of the QRBG, and both provide high-quality pseudorandom bits
Random number generation is a critical issue in numerous cryptographic applications: it is used for ...
We address the problem of detecting deviations of binary sequence from randomness,which is very imp...
Pseudorandom Number Generators are deterministic algorithms which take in a value obtained from an e...
Pseudorandom generators belong to the primary focus of cryptology. The key to every cipher has to be...
Random Numbers determine the security level of cryptographic applications as they are used to genera...
Cryptography is the study and practice of secure communication with digital data and focuses on conf...
The most effective cryptographic algorithm has more randomness in the numbers a generator generates,...
Abstract: During last one and half decade an interesting relationship between chaos and cryptography...
Cryptography is essential for secure online communications. Many different types of ciphers are impl...
Pseudo-random number generators are widely used in many branches of science, mainly in applications ...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
Random key bit generators are used in statistically secured stream ciphers. In stream ciphers pseudo...
The generation of pseudo-random numbers (bits) plays a critical role in a large number of applicatio...
Random numbers are essential for cryptography and scientific simulation. Generating truly random num...
Random number generation is a critical issue in numerous cryptographic applications: it is used for ...
We address the problem of detecting deviations of binary sequence from randomness,which is very imp...
Pseudorandom Number Generators are deterministic algorithms which take in a value obtained from an e...
Pseudorandom generators belong to the primary focus of cryptology. The key to every cipher has to be...
Random Numbers determine the security level of cryptographic applications as they are used to genera...
Cryptography is the study and practice of secure communication with digital data and focuses on conf...
The most effective cryptographic algorithm has more randomness in the numbers a generator generates,...
Abstract: During last one and half decade an interesting relationship between chaos and cryptography...
Cryptography is essential for secure online communications. Many different types of ciphers are impl...
Pseudo-random number generators are widely used in many branches of science, mainly in applications ...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
Random key bit generators are used in statistically secured stream ciphers. In stream ciphers pseudo...
The generation of pseudo-random numbers (bits) plays a critical role in a large number of applicatio...
Random numbers are essential for cryptography and scientific simulation. Generating truly random num...
Random number generation is a critical issue in numerous cryptographic applications: it is used for ...
We address the problem of detecting deviations of binary sequence from randomness,which is very imp...
Pseudorandom Number Generators are deterministic algorithms which take in a value obtained from an e...