Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review

ZT Pritee, MH Anik, SB Alam, JR Jim, MM Kabir… - Computers & …, 2024 - Elsevier
In the continuously develo** field of cyber security, user authentication and authorization
play a vital role in protecting personal information and digital assets from unauthorized use …

Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm

N Bacanin, V Simic, M Zivkovic, M Alrasheedi… - Annals of Operations …, 2023 - Springer
Computer resources provision over the internet resulted in the wide spread usage of cloud
computing paradigm. With the use of such resources come certain challenges that can …

Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization

N Mehrabi Hash**, MH Amiri, A Mohammadzadeh… - Cluster …, 2024 - Springer
This paper presents a unique hybrid classifier that combines deep neural networks with a
type-III fuzzy system for decision-making. The ensemble incorporates ResNet-18, Efficient …

Intrusion detection using metaheuristic optimization within IoT/IIoT systems and software of autonomous vehicles

P Dakic, M Zivkovic, L Jovanovic, N Bacanin… - Scientific Reports, 2024 - nature.com
The integration of IoT systems into automotive vehicles has raised concerns associated with
intrusion detection within these systems. Vehicles equipped with a controller area network …

Detecting Parkinson's disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics

L Jovanovic, R Damaševičius, R Matic, M Kabiljo… - PeerJ Computer …, 2024 - peerj.com
Neurodegenerative conditions significantly impact patient quality of life. Many conditions do
not have a cure, but with appropriate and timely treatment the advance of the disease could …

PSO-ACO-based bi-phase lightweight intrusion detection system combined with GA optimized ensemble classifiers

A Srivastava, D Sinha - Cluster Computing, 2024 - Springer
Features within the dataset carry a significant role; however, resource utilization, prediction-
time, and model weight are increased by utilizing high-dimensional data in intrusion …

A comprehensive and systematic literature review on intrusion detection systems in the internet of medical things: current status, challenges, and opportunities

A Naghib, FS Gharehchopogh, A Zamanifar - Artificial Intelligence Review, 2025 - Springer
The increasing number of medical devices in the Internet of Medical Things (IoMT)
environment has raised significant cybersecurity concerns. These devices often have weak …

Anomaly detection in ecg using recurrent networks optimized by modified metaheuristic algorithm

L Jovanovic, N Bacanin, M Zivkovic… - 2023 31st …, 2023 - ieeexplore.ieee.org
Cardiovascular disorders, a leading cause of death, demand urgent research attention.
Early detection systems hold the potential to improve patient outcomes by enabling timely …

Parkinson's disease induced gain freezing detection using gated recurrent units optimized by modified crayfish optimization algorithm

N Bacanin, A Petrovic, L Jovanovic… - 2024 5th …, 2024 - ieeexplore.ieee.org
Parkinson's disease belongs to the group of health problems that are incurable but can be
mitigated if treated properly. While there is no way of curing the damage caused by the …