A systematic review on machine learning and deep learning models for electronic information security in mobile networks
Today's advancements in wireless communication technologies have resulted in a
tremendous volume of data being generated. Most of our information is part of a widespread …
tremendous volume of data being generated. Most of our information is part of a widespread …
Survey on intrusion detection systems based on machine learning techniques for the protection of critical infrastructure
A Pinto, LC Herrera, Y Donoso, JA Gutierrez - Sensors, 2023 - mdpi.com
Industrial control systems (ICSs), supervisory control and data acquisition (SCADA) systems,
and distributed control systems (DCSs) are fundamental components of critical infrastructure …
and distributed control systems (DCSs) are fundamental components of critical infrastructure …
SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection
The industrial internet of things (IIoT) and supervisory control and data acquisition (SCADA)
have experienced ubiquitous growth recently. This growth comes with the challenge of an …
have experienced ubiquitous growth recently. This growth comes with the challenge of an …
Refined LSTM based intrusion detection for denial-of-service attack in Internet of Things
KO Adefemi Alimi, K Ouahada… - Journal of sensor and …, 2022 - mdpi.com
The Internet of Things (IoT) is a promising technology that allows numerous devices to be
connected for ease of communication. The heterogeneity and ubiquity of the various …
connected for ease of communication. The heterogeneity and ubiquity of the various …
Startups and consumer purchase behavior: Application of support vector machine algorithm
This study evaluated the impact of startup technology innovations and customer relationship
management (CRM) performance on customer participation, value co-creation, and …
management (CRM) performance on customer participation, value co-creation, and …
A review on state estimation techniques in active distribution networks: existing practices and their challenges
This paper provides a comprehensive review of distribution system state estimation in terms
of basic definition, different methods, and their application. In the last few years, the …
of basic definition, different methods, and their application. In the last few years, the …
Exploring the potential of AI-driven optimization in enhancing network performance and efficiency
The exponential growth of network complexity and data volume in modern digital
ecosystems has underscored the need for innovative approaches to optimize network …
ecosystems has underscored the need for innovative approaches to optimize network …
A Comprehensive Survey of Machine Learning Methodologies with Emphasis in Water Resources Management
M Drogkoula, K Kokkinos, N Samaras - Applied Sciences, 2023 - mdpi.com
This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …
algorithms, highlighting their practical applications in the critical domain of water resource …
Exploring ensemble-based class imbalance learners for intrusion detection in industrial control networks
Classifier ensembles have been utilized in the industrial cybersecurity sector for many years.
However, their efficacy and reliability for intrusion detection systems remain questionable in …
However, their efficacy and reliability for intrusion detection systems remain questionable in …
A classy multifacet clustering and fused optimization based classification methodologies for SCADA security
AO Khadidos, H Manoharan, S Selvarajan… - Energies, 2022 - mdpi.com
Detecting intrusions from the supervisory control and data acquisition (SCADA) systems is
one of the most essential and challenging processes in recent times. Most of the …
one of the most essential and challenging processes in recent times. Most of the …