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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

A New Reconfigurable True Random Number Generator and Physical Unclonable Function Unified Chip With On-Chip Auto-Calibration

Abstract: True random number generator (TRNG) and physical unclonable function (PUF) have been extensively used to secure low-cost Internet of Things (IoT) endpoints. In this paper, a lightweight ...
IEEE

Hardware Implementation of Multi-LFSR Pseudo Random Number Generator

Abstract: This paper presents the implementation of a hardware pseudo-random number generator (PRNG) using multiple linear feedback shift registers (LFSRs) for generating pseudo-random numbers and ...
IEEE

Design of a Multiple Pseudorandom Number Generator Combined Chaotic System With RNS and Its Application to Secure Image Processing

Abstract: This paper presents a novel approach to designing a multiple pseudorandom number generator (MPNG) through the integration of several key techniques. Specifically, the method leverages the ...
IEEE

Efficient Pseudo Random Number Generator (PRNG) Design on FPGA

Abstract: Random Number Generators (RNGs) are substantially used in many security domains, providing a fundamental source of unpredictability essential for tasks such as cryptography, simulations, and ...
IEEE

FPGA implementation of Chaotic pseudo-random number generator for cryptographic applications

Abstract: Reconfigurable systems often require secret keys for encrypting and decrypting data. To address this need, applications requiring high security typically use physical unclonable functions ...