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g-EoN: A Non-salient Approach Towards Encryption Using Gamma Function \(\varGamma \Big (-\frac{\alpha }{\beta }\Big ) = -\frac{\beta }{\alpha }\, \varGamma \Big (\frac{\beta -\alpha }{\beta }\Big )\)

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Advances in Cyber Security (ACeS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1487))

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Abstract

Cryptography is the art of presenting secret information under code obfuscation. This can be achieved by various algorithms which convert human readable text into non-legible text. This paper presents a cryptosystem that adopts the Gamma function and tabular modeling to carry out both the encryption and decryption using two common keys namely Primary Common Key (PCK) and Secondary Common Key (SCK). The encryption outputs two ciphers when a message P and PCK is given as input. The value Key VK is generated by Value Key Generator (VKG). Cipher \(C_1\) uses modular arithmetic followed by Gamma function and Cipher \(C_2\) uses Gamma function in Gamma Cryptor Module (GCM). The result of VKG is given to GCM. During decryption, it requires both the ciphers \(C_1 C_2\) and a Value key VK for generating the plaintext back.

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Authors and Affiliations

  1. National Institute of Technology Agartala, Agartala, India

    Abhilash Kumar Das & Nirmalya Kar

Authors
  1. Abhilash Kumar Das
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  2. Nirmalya Kar
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Correspondence to Nirmalya Kar .

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Editors and Affiliations

  1. Hodeidah University, Hodeidah, Yemen

    Nibras Abdullah

  2. Universiti Sains Malaysia, Penang, Malaysia

    Selvakumar Manickam

  3. Universiti Sains Malaysia, Penang, Malaysia

    Mohammed Anbar

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Das, A.K., Kar, N. (2021). g-EoN: A Non-salient Approach Towards Encryption Using Gamma Function \(\varGamma \Big (-\frac{\alpha }{\beta }\Big ) = -\frac{\beta }{\alpha }\, \varGamma \Big (\frac{\beta -\alpha }{\beta }\Big )\). In: Abdullah, N., Manickam, S., Anbar, M. (eds) Advances in Cyber Security. ACeS 2021. Communications in Computer and Information Science, vol 1487. Springer, Singapore. https://doi.org/10.1007/978-981-16-8059-5_6

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  • DOI: https://doi.org/10.1007/978-981-16-8059-5_6

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  • Online ISBN: 978-981-16-8059-5

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