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Design and Randomness Evaluation of a Chaotic Neural Encryption and Decryption Network for TRNG

机译:TRNG混沌神经加密和解密网络的设计与随机性评估

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The prime objective of any cryptographic system is all about exchanging information amidst the expected users without letting any information getting leaked out to others who may have unapproved access to it. Since various public key cryptography techniques has been widely recognized which were based on number theory and they need substantial reckoning power. The procedure involved in forming public key is cumbersome and time-consuming. A common secret key will be generated to solve this problem. In this paper, artificial neural network based chaotic cryptography is presented which proves that the messages are highly protected. The randomness of the encrypted sequences for different input sequences was analyzed and interpreted by using NIST Statistical Test Suite.
机译:任何加密系统的主要目标都是关于在预期用户中交换信息,而无需让任何信息泄露给可能未批准访问权限的信息。由于各种公钥加密技术得到了广泛认可的,这是基于数量理论的,因此它们需要大量的估算力。形成公钥所涉及的程序是麻烦和耗时的。将生成一个共同的密钥来解决这个问题。本文提出了人工神经网络的混沌密码,证明了消息受到高度保护。通过使用NIST统计测试套件分析和解释了不同输入序列的加密序列的随机性。

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