随机性
随机数生成
计算机科学
混乱的
密码学
帐篷映射
发电机(电路理论)
伪随机数发生器
流密码
随机性试验
密码原语
统计假设检验
NIST公司
算法
理论计算机科学
密码协议
数学
人工智能
统计
功率(物理)
物理
量子力学
自然语言处理
作者
Ahmad Al-Daraiseh,Yousef K. Sanjalawe,Salam Al-Emari,Salam Fraihat,Mohammad Bany Taha,Muhammed Jassem Al-Muhammed
摘要
In recent years, there has been an increasing interest in employing chaotic-based random number generators for cryptographic purposes. However, many of these generators produce sequences that lack the necessary strength for cryptographic systems, such as Tent-Map. However, these generators still suffer from common issues when generating random numbers, including issues related to speed, randomness, lack of statistical properties, and lack of uniformity. Therefore, this paper introduces an efficient pseudo-random number generator, called State-Based Tent-Map (SBTM), based on a modified Tent-Map, which addresses this and other limitations by providing highly robust sequences suitable for cryptographic applications. The proposed generator is specifically designed to generate sequences with exceptional statistical properties and a high degree of security. It utilizes a modified 1D chaotic Tent-Map with enhanced attributes to produce the chaotic sequences. Rigorous randomness testing using the Dieharder test suite confirmed the promising results of the generated keystream bits. The comprehensive evaluation demonstrated that approximately 97.4% of the tests passed successfully, providing further evidence of the SBTM’s capability to produce sequences with sufficient randomness and statistical properties.
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