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Genetic algorithm based key sequence generation for cipher system

机译:基于遗传算法的密码系统密钥序列生成

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摘要

Stream cipher system seems to be one of the best alternatives in order to provide confidentiality and security in an on line and high-speed transmission. Cryptography is required to secure the secret information transmitting over the communication channel. Day by day the importance of security increases due to increase of online transaction processing and e-commerce. As well as encryption / decryption algorithm, randomness characteristics of key sequences prove the strength of the stream cipher.In this work the Linear Feedback Shift Register (LFSR) is used to produce non binary pseudo random key sequence. The length of the sequence has been enhanced by designing hybrid model using LFSR and Genetic Algorithm (GA). Achieving the length more than the maximum length of LFSR is the primary intention of this work. The statistical tests is conducted to assess the randomness of key sequence generated from hybrid model. Generated key sequences are used as key sequences in cryptographic applications and results are analyzed. (C) 2020 Elsevier B.V. All rights reserved.
机译:流密码系统似乎是最佳替代方案之一,以便在线和高速传输提供机密性和安全性。需要加密以确保通过通信信道发送的秘密信息。日复一日,由于在线交易处理和电子商务的增加,安全增加的重要性。除了加密/解密算法,关键序列的随机性特征证明了流密码的强度。在该工作中,线性反馈移位寄存器(LFSR)用于产生非二进制伪随机键序列。通过使用LFSR和遗传算法(GA)设计混合模型,通过设计混合模型来增强序列的长度。实现长度超过LFSR的最大长度是这项工作的主要目的。进行统计测试以评估从混合模型产生的关键序列的随机性。生成的键序列用作加密应用中的关键序列,并分析结果。 (c)2020 Elsevier B.v.保留所有权利。

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