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Despite the advancements in cryptography, encoding sensitive data remains a relatively difficult operation. Following a study of the current literature, it is now clear that security issues have yet to be overcome, and that more research is needed. The design of the Convolutional Neural Network (CNN) encryption algorithm is presented in this study. The findings are compared to the Cryptographic Algorithms based on a set of parameters. The final findings show how well a particular neural network may be used for symmetric cryptography. The experimental findings demonstrate that, under the terms stipulated in this manuscript, CNN can be used for cryptography. With CNN it is found thinnest is feasible to attain low error rates with neural networks several times. To show the real-life implementation of CNNs over a TCP/IP network, Alice and Bob's conversation was mimicked using sockets. The research findings reveal that the recommended implementation provides significantly improved security without disturbing the actual process.
Keywords:
CNN, NCA, TCP/IP, Cryptographic, encryption
Cite Article:
"Efficient, Secure, and Reliable Cryptography using Convolutional Neural Network", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1735 - 1742, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206258.pdf
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000205238
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator