A Chaotic System and Count Tracking Mechanism-based Dynamic S-Box and Secret Key Generation

Sagnik Pal, R. Selvanambi, Preeti Malik, Marimuthu Karuppiah
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Abstract

In cryptography, Block ciphers use S-Boxes to perform substitution and permutation operations on a data block. S-Boxes provide non-linearity and confusion of bits to the cryptographic algorithms. In addition, secret keys are critical security aspects for encrypting and decrypting messages. The uncertainty and randomness of the secret key and S-boxes used in the algorithm determine the extent of security against any cryptanalysis attack. This paper proposes a new mechanism to dynamically generate a secret key and S-Box each time while sending and receiving the message. These dynamically generated S-Boxes and keys depend on mutually decided security parameters and message transfer history. Furthermore, a new counter-based mechanism is introduced in this paper. These enhancement techniques are applied to the serpent cipher algorithm, and a data transfer simulation is performed to validate the efficacy of the proposed method. We observe that the dynamically generated S-box follows the strict avalanche criteria. We further validate that the encrypted message shows higher sensitivity to the S-box and the secret key in enhanced serpent cipher than the original version. However, to validate our proposed method, we test and analyze the improvements in the Serpent Cipher Algorithm.
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基于混沌系统和计数跟踪机制的动态s盒和密钥生成
在密码学中,块密码使用s - box对数据块执行替换和置换操作。s盒为密码算法提供了非线性和位混淆。此外,密钥是加密和解密消息的关键安全方面。算法中使用的密钥和s盒的不确定性和随机性决定了对任何密码分析攻击的安全程度。本文提出了一种新的机制,在每次发送和接收消息时动态生成密钥和S-Box。这些动态生成的s - box和密钥依赖于相互决定的安全参数和消息传输历史。此外,本文还介绍了一种新的基于计数器的机制。将这些增强技术应用于蛇密码算法,并通过数据传输仿真验证了所提方法的有效性。我们观察到动态生成的S-box遵循严格的雪崩准则。我们进一步验证了加密后的消息对S-box和增强毒蛇密码中的密钥的敏感性高于原始版本。然而,为了验证我们提出的方法,我们测试和分析了蛇密码算法的改进。
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来源期刊
CiteScore
3.80
自引率
6.20%
发文量
57
审稿时长
20 weeks
期刊介绍: IJMEMS is a peer reviewed international journal aiming on both the theoretical and practical aspects of mathematical, engineering and management sciences. The original, not-previously published, research manuscripts on topics such as the following (but not limited to) will be considered for publication: *Mathematical Sciences- applied mathematics and allied fields, operations research, mathematical statistics. *Engineering Sciences- computer science engineering, mechanical engineering, information technology engineering, civil engineering, aeronautical engineering, industrial engineering, systems engineering, reliability engineering, production engineering. *Management Sciences- engineering management, risk management, business models, supply chain management.
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