Random and pseudo-random number and bit sequence generators with a uniform
distribution law are the most widespread and in demand in the market of pseudo-random …

Pseudorandom sequence generation is used in many industries, including cryptographic
information security devices, measurement technology, and communication systems. The …

This article explores the complex relationship between artificial intelligence (AI) and privacy.
While acknowledging AI's potential benefits, the authors emphasize the ethical implications …

Recently, Quantum cryptography researchers utilize the quantum keys, in order to provide a
more trusted environment for both key distribution and management processes. The …

As blockchain technology continues to evolve, the pursuit of privacy has become a
significant challenge. Although the transparency and immutability of blockchain are …

The rapid advancement of artificial intelligence (AI) has led to the creation of sophisticated
deepfakes, which pose significant threats to digital authenticity and national security …

Random Numbers determine the security level of cryptographic applications as they are
used to generate padding schemes in the encryption/decryption process as well as used to …

Unified logic and very large-scale integration (VLSI) circuitry have been created to generate
random numbers from various distributions such as uniform, exponential, and Gauss …

This article explores the role of educational initiatives in enhancing privacy standards within
Cardano's blockchain ecosystem, emphasizing the importance of user and developer …

The advent of quantum computing presents a transformative challenge to contemporary
cryptographic systems, threatening the security of widely used encryption algorithms such as …