A systematic literature review on swarm intelligence based intrusion detection system: past, present and future

DKK Reddy, J Nayak, HS Behera… - … Methods in Engineering, 2024 - Springer
Swarm Intelligence (SI) has proven to be useful in solving issues that are difficult to solve
using traditional mathematical methodologies by using a collective behavior of a …

Harnessing Machine Learning for Effective Cyber security Classifiers

T Jena, A Shankar, A Singhdeo - Asian Journal of …, 2023 - research.send4journal.com
Machine learning has emerged as a transformative force, innovating diverse industries
through its capacity to infuse meaningful insights from large datasets. It plays a pivotal role in …

Improving quality of service for Internet of Things (IoT) in real life application: A novel adaptation based Hybrid Evolutionary Algorithm

SP Singh, P Singh, M Diwakar, P Kumar - Internet of Things, 2024 - Elsevier
In this paper, we address critical challenges in IoT sensor lifespan, service latency, and
coverage area, all impacting energy consumption in smart agriculture applications. To …

Next-Gen WSN Enabled IoT for Consumer Electronics in Smart City: Elevating Quality of Service Through Reinforcement Learning-Enhanced Multi-Objective …

SP Singh, N Kumar, NS Alghamdi… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The data transfer volume is massive in next-generation Wireless Sensor Networks (6G-
enabled WSNs) in smart city with consumer electronics-based high communication density …

An optimized deep learning framework to enhance internet of things and fog based health care monitoring paradigm

V Sukanya, PB Jawade, M Jayanthi - Multimedia Tools and Applications, 2024 - Springer
In today's digital world, the Internet of Things (IoT) applications play an essential role in
sensing and information gathering. Besides, it has been chiefly advanced in medical …