Application of the Neural Networks for Cryptographic Information Security

Nakhushev, Rakhim S.; Sukhanova, Nataliya

doi:10.1109/itqmis51053.2020.9322981

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Cited by 3 publications

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The Neural Networks Application in Information Security

Sukhanova,

Sheptunov

2023

2023 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&am

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The Neural Networks Application in Information Security

Sukhanova,

Sheptunov

2023

2023 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&am

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Neural Network-Based Cryptography: A Primary Study on the Performances and Techniques

Foo¹,

Ng²,

Naveen³

2022

Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)

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Cybersecurity is getting more and more important in this big data era. Neural Network-based cryptosystem which is a complex system and deserve more research study for improvement. This article will discuss and analyse existing neural network-based cryptography performance and techniques. The in-depth analysis will examine the effectiveness of older structure as well as the effects initiated against them. Several advanced techniques will be discussed that reliant on generative adversarial networks (GANs) to contend with one another in pursuit of a common goal such as efficient encryption for communication. At the end of the paper, it will review a few decent neural network methods best applied on cryptography.

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Synthesis of neural network structure for the analysis of complex structured ocular fundus images

Tatarkanov¹,

Alexandrov²,

Glashev³

2021

J Appl Eng Science

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This paper proposes an algorithm for synthesizing a neural network (NN) structure to analyze complex structured, low entropy, ocular fundus images, characterized by iterative tuning of the adaptive model’s solver modules. This algorithm will assist in synthesizing models of NNs that meet the predetermined characteristics of the classification quality. The relevance of automating the process of ocular diagnostics of fundus pathologies is due to the need to develop domestic medical decision-making systems. Because of using the developed algorithm, the NN structure is synthesized, which will include two solver modules, and is intended to classify the dual-alternative information. Automated hybrid NN structures for intelligent segmentation of complex structured, low entropy, retinal images should provide increased efficiency of ocular diagnostics of fundus pathologies, reduce the burden on specialists, and decrease the negative impact of the human factor in diagnosis.

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Application of the Neural Networks for Cryptographic Information Security

Cited by 3 publications

References 7 publications

The Neural Networks Application in Information Security

The Neural Networks Application in Information Security

Neural Network-Based Cryptography: A Primary Study on the Performances and Techniques

Synthesis of neural network structure for the analysis of complex structured ocular fundus images

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