Results 91 to 100 of about 8,955,762 (211)
Monte Carlo simulation relies on pseudo-random number generators. In general, the quality of these generators can have a direct impact on simulation results.
Meriem Tantaoui +6 more
doaj +1 more source
A High‐Performance Image Encryption System Using Vectorised DNA and Modular Tangent Chaotic Maps
This paper proposes a high‐performance image encryption system based on vectorised DNA computing and modular tangent chaotic maps. The integration of permutation and diffusion within a SIMD‐based parallel framework significantly improves efficiency while maintaining strong security. The approach is suitable for real‐time secure image processing and can
Mustafa Kamil Khairullah +6 more
wiley +1 more source
LNMNT- New mersenne number based lightweight crypto hash function for ToT
In this era of Internet of things, it allows billions of devices and applications to communicate and exchange information. The major issue of IoT applications is in the field of security.
Md Rafiqul Islam +5 more
core +1 more source
Efficient and Constant Time Modular Reduction With Generalized Mersenne Primes
Many cryptographic applications require a vast number of modular multiplications with a large prime modulus. Generalized Mersennes are a class of primes commonly used in cryptography because of their special forms.
Serdar S. Erdem, Sezer S. Erdem
doaj +1 more source
Images transmitted across open networks, such as the Internet, are inherently vulnerable to eavesdropping, unauthorized access, and data tampering. Sensitive image categories, including medical, military, biometric, and legal images, often require a higher level of protection than public protocols provide. Moreover, the large size, high redundancy, and
Rami Sihwail +3 more
wiley +1 more source
Neural Ordinary Differential Equation With Grünwald–Letnikov Fractional Momentum
Forecasting short annual time series is challenging because limited observations increase the risks of unstable optimization, overfitting, and information leakage. This study proposes a standard first‐order neural ordinary differential equation trained with finite‐memory Grünwald–Letnikov fractional momentum.
Wei Yang, Shikha Binwal
wiley +1 more source
Split-radix algorithm for the new Mersenne number transform [PDF]
The one-dimensional new Mersenne number transform (NMNT) was proposed for the calculation of error free convolutions and correlations for signal processing purposes.
D. Xu +7 more
core +1 more source
A Generalization of Gaussian Balancing and Gaussian Balancing‐Lucas Numbers With Applications
In this paper, we study a generalization of Gaussian balancing and Gaussian Lucas‐balancing numbers, we find their generating functions, Binet formulas, related matrix representation, and many other properties. Also, we provide some applications in cryptography.
T. Al-Asoully +2 more
wiley +1 more source
The need for hardware random number generators (HRNGs) that can be integrated in a silicon (Si) complementary-metal–oxide–semiconductor (CMOS) platform has become increasingly important in the era of the Internet-of-Things (IoT).
Kouta Ibukuro +9 more
doaj +1 more source
Exploiting Decryption Failures in Mersenne Number Cryptosystems [PDF]
Mersenne number schemes are a new strain of potentially quantum-safe cryptosystems that use sparse integer arithmetic modulo a Mersenne prime to encrypt messages.
Marcel Tiepelt, Jan-Pieter D\u27Anvers
core

