Use of Neural Networks in cryptography: A review
Pranita P. Hadke, Swati Kale
Abstract
Pranita P. Hadke, Swati Kale
Abstract
In cryptography secret information is made unreadable for an unauthorized user. There are many cryptographic algorithms are available, but they are more complex techniques and requires more computational power. This paper gives a review of how Neural Networks contributes a help in cryptography and how neural network and cryptography together can be used for security.
OpenAlex reports 42 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In cryptography secret information is made unreadable for an unauthorized user. There are many cryptographic algorithms are available, but they are more complex techniques and requires more computational power. This paper gives a review of how Neural Networks contributes a help in cryptography and how neural network and cryptography together can be used for security.
Key concepts: Cryptography, Neural cryptography, Computer science, Financial cryptography, Artificial neural network, Computer security, Strong cryptography, ID-based cryptography