Artificial neural synchronization using nature inspired whale optimization

A Sarkar, MZ Khan, MM Singh, A Noorwali… - IEEE …, 2021 - ieeexplore.ieee.org
In this article, a whale optimization-based neural synchronization has been proposed for the
development of the key exchange protocol. At the time of exchange of sensitive information …

[PDF][PDF] Flight-schedule using Dijkstra's algorithm with comparison of routes findings

IE Salem, MM Mijwil, AW Abdulqader… - International Journal of …, 2022 - researchgate.net
The Dijkstra algorithm, also termed the shortest-route algorithm, is a model that is
categorized within the search algorithms. Its purpose is to discover the shortest-route, from …

A secured cryptographic system based on DNA and a hybrid key generation approach

MI Reddy, APS Kumar, KS Reddy - Biosystems, 2020 - Elsevier
Cryptography is a method for preventing illegitimate access to information and data. In this
paper, a bio-inspired cryptographic DNA system has been proposed. The proposed method …

Deep learning guided double hidden layer neural synchronization through mutual learning

A Sarkar - Neural Processing Letters, 2021 - Springer
In this paper, a Double Hidden Layer Neural Networks synchronization mechanism using
Generative Adversarial Network (GAN) and mutual learning is used for the development of …

Fixed‐time synchronization in multilayer networks with delay Cohen–Grossberg neural subnets via adaptive quantitative control

F Tan, L Zhou, J Lu, H Zhang - Asian Journal of Control, 2024 - Wiley Online Library
In this paper, fixed‐time synchronization of nonlinear stochastic coupling multilayer neural
networks is studied. The neural subnets in the multilayer networks are delay Cohen …

Wireless COVID-19 telehealth: Leukocytes encryption guided by amino acid matrix

J Dey, S Mukherjee - Wireless Personal Communications, 2021 - Springer
In this era of wireless COVID-19 telehealth, visiting hospital for regular follow-ups could
invite coronavirus in someone's body. Opting for proactive E-health services is the best …

[PDF][PDF] A proactive metaheuristic model for optimizing weights of artificial neural network

AH Alsaeedi, AH Aljanabi, ME Manna… - Indones. J. Electr …, 2020 - researchgate.net
This paper proposes the Particle Swarm Optimization model for enhancing the performance
of an Artificial Neural Network. The learning process of Artificial Neural Network requires a …

An efficient group synchronization of chaos-tuned neural networks for exchange of common secret key

A Sarkar, K Daripa, MZ Khan, A Noorwali - Soft Computing, 2024 - Springer
For the design of the public-key exchange protocol, a chaos-based Triple-Layer Tree Parity
Machine (TLTPM) directed group neural synchronization is presented in this study. For …

Neural coordination through spider monkey optimization-guided weight synchronization

A Sarkar - Multimedia Tools and Applications, 2023 - Springer
This paper proposes a Spider Monkey-based neural weight optimization approach for
quicker neural synchronization. To exchange the session key across a public channel, two …

Security of Neural Network-Based Key Agreement Protocol for Smart Grids

M Stypiński, M Niemiec - Energies, 2023 - mdpi.com
Recent developments in quantum computing pose a significant threat to the asymmetric
cryptography currently in use. Neural cryptography offers a potential alternative that is …