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 …
A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis
Intrusion detection (ID) is critical in securing computer networks against various malicious
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …
Automated detection of cybersecurity attacks in healthcare systems with recursive feature elimination and multilayer perceptron optimization
Widespread proliferation of interconnected healthcare equipment, accompanying software,
operating systems, and networks in the Internet of Medical Things (IoMT) raises the risk of …
operating systems, and networks in the Internet of Medical Things (IoMT) raises the risk of …
Towards a universal privacy model for electronic health record systems: an ontology and machine learning approach
This paper proposed a novel privacy model for Electronic Health Records (EHR) systems
utilizing a conceptual privacy ontology and Machine Learning (ML) methodologies. It …
utilizing a conceptual privacy ontology and Machine Learning (ML) methodologies. It …
Apollon: a robust defense system against adversarial machine learning attacks in intrusion detection systems
Abstract The rise of Adversarial Machine Learning (AML) attacks is presenting a significant
challenge to Intrusion Detection Systems (IDS) and their ability to detect threats. To address …
challenge to Intrusion Detection Systems (IDS) and their ability to detect threats. To address …
Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review
S Messinis, N Temenos, NE Protonotarios… - Computers in Biology …, 2024 - Elsevier
Over the past five years, interest in the literature regarding the security of the Internet of
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …
Empowering cyberattack identification in IoHT networks with neighborhood component-based improvised long short-term memory
Cybersecurity has become an inevitable concern in the healthcare industry due to the rapid
growth of the Internet of Health Things (IoHT). The IoHT is revolutionizing healthcare by …
growth of the Internet of Health Things (IoHT). The IoHT is revolutionizing healthcare by …
Leveraging computational intelligence techniques for defensive deception: a review, recent advances, open problems and future directions
PV Mohan, S Dixit, A Gyaneshwar, U Chadha… - Sensors, 2022 - mdpi.com
With information systems worldwide being attacked daily, analogies from traditional warfare
are apt, and deception tactics have historically proven effective as both a strategy and a …
are apt, and deception tactics have historically proven effective as both a strategy and a …
Cyber attack detection in healthcare data using cyber-physical system with optimized algorithm
F Alrowais, HG Mohamed, FN Al-Wesabi… - Computers and …, 2023 - Elsevier
A medical cyber-physical system (MCPS) integrates medical sensor devices with cyber
(information) components, which creates a sensitive approach and provides security. The …
(information) components, which creates a sensitive approach and provides security. The …
Swarm intelligence for IoT attack detection in fog-enabled cyber-physical system
To provide remote access, surveillance, and analysis, network integration is common in
Cyber-Physical Systems (CPSs). This leads to cyber attacks due to the integration of …
Cyber-Physical Systems (CPSs). This leads to cyber attacks due to the integration of …