Cybersecurity and blockchain usage in contemporary business

IA Shah, NZ Jhanjhi, A Laraib - Handbook of Research on …, 2023 - igi-global.com
The use of computers is becoming more and more common. The power and maliciousness
of powerful attackers are increasing. Organizations must improve their ability to mitigate …

Collision-aware routing using multi-objective seagull optimization algorithm for WSN-based IoT

P Jagannathan, S Gurumoorthy, A Stateczny… - Sensors, 2021 - mdpi.com
In recent trends, wireless sensor networks (WSNs) have become popular because of their
cost, simple structure, reliability, and developments in the communication field. The Internet …

Towards a high precision in AMI-based smart meters and new technologies in the smart grid

W Anupong, R Azhagumurugan, KB Sahay… - … Informatics and Systems, 2022 - Elsevier
Due to its widespread serviceability, the sensor network receives considerable interest.
Within smart cities featuring multiple, collection and transmission, the function of the wireless …

Probabilistic buckshot-driven cluster head identification and accumulative data encryption in WSN

P Naga Srinivasu, R Panigrahi, A Singh… - Journal of Circuits …, 2022 - World Scientific
Several nonterminal nodes in the ad-hoc sensor network architecture are involved in
effectively communicating data. There are not enough nodes other than the terminals to …

Hybrid Block‐Based Lightweight Machine Learning‐Based Predictive Models for Quality Preserving in the Internet of Things‐(IoT‐) Based Medical Images with …

VK Reshma, IR Khan… - Computational …, 2022 - Wiley Online Library
In the contemporary era of unprecedented innovations such as the Internet of Things (IoT),
modern applications cannot be imagined without the presence of a wireless sensor network …

Advancing medical recommendations with federated learning on decentralized data: A roadmap for implementation

R Kumari, DK Sah, S Gupta, K Cengiz… - Ieee transactions on …, 2023 - ieeexplore.ieee.org
This proposal presents a road-map for implementing federated learning (FL) for
personalized medical recommendations on decentralized data. FL is a privacy-preserving …

Decentralized multiple hypothesis testing in Cognitive IOT using massive heterogeneous data

V Jha, P Tripathi - Cluster Computing, 2024 - Springer
An emerging area of study known as Cognitive IoT (CIoT) has emerged as a result of recent
efforts to include cognition in the design of the Internet of Things (IoT). Several features and …

[PDF][PDF] A Hybrid Approach to Neighbour Discovery in Wireless Sensor Networks.

S Mekala, K Shahu Chatrapati - Intelligent Automation & Soft …, 2023 - academia.edu
In the contemporary era of unprecedented innovations such as Internet of Things (IoT),
modern applications cannot be imagined without the presence of Wireless Sensor Network …

q-Spherical Fuzzy Rough Frank Aggregation Operators in AI Neural Networks: Applications in Military Transport Systems

AB Azim, A Ali, S Ali, A Aloqaily, N Mlaiki - IEEE Access, 2024 - ieeexplore.ieee.org
This study introduces a novel neural network approach integrating q-spherical fuzzy rough
Frank aggregation operators, aiming to enhance AI systems' resilience to uncertain and …

[HTML][HTML] Impersonation attack detection in mobile edge computing by levering sarsa technique in physical layer security

X Yan, K Yan, MU Rehman, S Ullah - Applied Sciences, 2022 - mdpi.com
Smart health systems typically integrate sensor technology with the Internet of Things,
enabling healthcare systems to monitor patients. These biomedical applications collect …