Results 101 to 110 of about 11,341,287 (236)
Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness
Deterministic pseudorandom number generators used in generative artificial intelligence (GAI) models produce predictable patterns vulnerable to exploitation by attackers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
doaj +1 more source
TRIM: AI Guided Random Number Generation for Resource-Constrained IoT Systems
Random numbers often serve as the backbone for many security solutions in diverse domains such as cryptography, side channel leakage prevention, and moving target defense. However, generating true random numbers requires a physical source of entropy (e.g.
T. Suha +5 more
semanticscholar +1 more source
Pseudorandom sequences with large linear complexity are widely employed in practical secure communication systems, such as stream ciphers, spread-spectrum communications, and wireless networks.
Meng Lu +4 more
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True random number generators in modern cryptography: A review
With the explosive progress in electronic communication and the widespread use of networks, information security has become increasingly important to people from every aspect of life. Random numbers are sets of numerals arranged so that the values in the
Parul Sharma +2 more
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A Cascading Framework for Integrating Chaotic Maps and Generating Complex Dynamics
This work proposes a generalized cascading framework to integrate low-dimensional chaotic maps through a nonlinear transformation layer comprising transcendental equations.
Rida Samee +3 more
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Evolving Cryptographic Pseudorandom Number Generators
Random number generators (RNGs) play an important role in many real-world applications. Besides true hardware RNGs, one important class are deterministic random number generators. Such generators do not possess the unpredictability of true RNGs, but still have a widespread usage. For a deterministic RNG to be used in cryptography, it needs to fulfill a
Stjepan Picek +5 more
openaire +3 more sources
APPLICATION OF NEURAL NETWORKS FOR THE DEVELOPMENT AND TESTING OF PSEUDORANDOM NUMBER GENERATORS
This article presents a review of recent research in the field of neurocryptography focused on pseudorandom number generators (PRNGs). Various types of PRNGs and their implementations are discussed, and the criteria for cryptographic security of ...
M. Nekrasova
semanticscholar +1 more source
This paper presents a power-aware Reconfigurable Parameterizable Pseudorandom Pattern Generator (RP-PRPG) for a number of applications, including built in self-testing (BIST) and cryptography.
Geethu Remadevi Somanathan +2 more
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Fragile watermarking provides integrity verification and authenticity assurance by embedding tamper-sensitive watermarks to reveal unauthorized modifications.
Ahmed Abduljabbar AlSabhany +1 more
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FileCipher: A Chaos-Enhanced CPRNG-Based Algorithm for Parallel File Encryption
The exponential growth of digital data and the escalating sophistication of cyber threats have intensified the demand for secure yet computationally efficient encryption methods.
Yousef Sanjalawe +3 more
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