Penerapan Multiply With Carry Generator pada Proses Pembangkitan Kunci Algoritma Beaufort Cipher

Taronisokhi Zebua
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Abstract

The strength of the algorithm used in data security does not only depend on the complexity of the algorithm used, but lies in the randomness and complexity of the key solving used. The repetition of the same character in the formation of a key used by a data security algorithm is very vulnerable to attack, because it can make it easier for attackers to break the algorithm itself. One of the commonly used data security algorithms is the comfort cipher algorithm. The number of key characters needed in this algorithm is directly proportional to or equal to the number of characters of text or data that is secured. Using a number of key characters like this allows the repetition of the same characters, making it easier for attackers to find out the pattern of the keywords used. Based on this, random key generation is necessary to optimize the robustness of the algorithm used. Multiply with carry generator is a random number generation technique that has advantages in speed and length of randomization cycle so that it has more seed variations to the generated random numbers. This study describes how to apply this random number generation method to generate keywords used in the beaufort cipher algorithm, so that the keys used can be more optimal and more complicated for attackers to crack.
数据安全中使用的算法的强度不仅取决于所使用算法的复杂度,还在于所使用的密钥求解的随机性和复杂性。数据安全算法使用的密钥中相同字符的重复是非常容易受到攻击的,因为它可以使攻击者更容易破坏算法本身。常用的数据安全算法之一是舒适密码算法。该算法所需的关键字符数与需要保护的文本或数据的字符数成正比或相等。使用这样的多个关键字符允许重复相同的字符,使攻击者更容易发现所使用的关键字的模式。基于此,需要随机密钥生成来优化所使用算法的鲁棒性。乘进位生成器是一种随机数生成技术,它在随机化周期长、速度快等方面具有优势,使得生成的随机数有更多的种子变化。本研究描述了如何应用这种随机数生成方法生成博福特密码算法中使用的关键字,使所使用的密钥更优,更复杂,便于攻击者破解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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