Providing Data Security in Deep Learning by Using Genomic Procedure

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Abstract

Cryptanalysis is the technique for putting a difficult arithmetic and rationality to give a heavy-duty policy procedure to pelt information named by way of enciphering and then also reclaim novel information again named as deciphering. The main determination of cryptanalysis is to communicate information among one hub to another and also avoid the listener problems, and mainly we want a strong procedures and strategy and also need good encipherment techniques. For this, introduce a new concept of DNA deep learning cryptography that ensures hiding an information by use of DNA terms and deep learning. In this method, every ABCs are transformed to various mixtures of the four bases. This is, respectively, A, C, G and T. These base pairs are making a humanoid deoxyribonucleic acid (DNA). In this paper to begin with, routine besides of execution intended for key creation grounded on DNA algorithm with Needleman–Wunsch (NW) algorithm. And furthermore, the genetic procedures transcription, translation, DNA sequencing and deep learning are used to encrypt and decrypt the information.

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Vasanth, R., & Samuel, D. J. (2020). Providing Data Security in Deep Learning by Using Genomic Procedure. In Advances in Intelligent Systems and Computing (Vol. 1056, pp. 247–258). Springer. https://doi.org/10.1007/978-981-15-0199-9_22

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