Research graph
References from AI-driven risk assessment models for predicting healthcare cybersecurity threats in real-time. Local targets link to admitted publications; unresolved targets remain external evidence.
Artificial intelligence in cybersecurity: protecting national infrastructure: a USA review
10.30574/wjarr.2024.21.1.0313 · 2024 · External reference
Implementing AI-driven anomaly detection for cybersecurity in healthcare networks
2024 · External reference
Artificial intelligence and machine learning techniques for anomaly detection and threat mitigation in cloud-connected medical devices
10.38124/ijisrt/ijisrt24mar1231 · 2024 · External reference
Towards transparent cybersecurity: The role of explainable AI in mitigating spam threats
10.1016/j.procs.2024.05.046 · 2024 · External reference
Enhanced threat intelligence framework for advanced cybersecurity resilience
10.1016/j.eij.2024.100521 · 2024 · External reference
Enhancing cybersecurity incident response: AI-driven optimization for strengthened advanced persistent threat detection
10.1016/j.rineng.2025.104078 · 2025 · External reference
Federated learning in healthcare: Model misconducts, security, challenges, applications, and future research directions-a systematic review
2024 · External reference
Internal audit effectiveness for data compliance using privacy federated learning model in hospital environment
10.1016/j.procs.2025.02.076 · 2025 · External reference
SecEdge: a novel deep learning framework for real-time cybersecurity in mobile IoT environments
10.1016/j.heliyon.2024.e40874 · 2025 · External reference
Toward a secure healthcare ecosystem: A convergence of edge analytics, blockchain, and federated learning
2024 · External reference
Shaping the future of AI in healthcare through ethics and governance
10.1057/s41599-024-02894-w · 2024 · External reference
Enhancing cybersecurity in Edge IIoT networks: an asynchronous federated learning approach with a deep hybrid detection model
10.1016/j.iot.2024.101252 · 2024 · External reference
From Dis-empowerment to empowerment: crafting a healthcare cybersecurity self-assessment
2025 · External reference
Design of a federated ensemble model for intrusion detection in distributed IIoT networks for enhancing cybersecurity
10.1016/j.jii.2025.100800 · 2025 · External reference
Intelligent AI-based healthcare cybersecurity system using multi-source transfer learning method
2023 · External reference
A clinically actionable and explainable real-time risk assessment framework for stroke-associated pneumonia
10.1016/j.artmed.2024.102772 · 2024 · External reference
Intelligent IoT-enabled healthcare solutions implementing federated meta-learning with blockchain
10.1016/j.jii.2025.100797 · 2025 · External reference
Vulnerability to cyberattacks and sociotechnical solutions for healthcare systems: Systematic review
10.2196/46904 · 2024 · External reference
Cybersecurity challenges in the age of AI: Theoretical approaches and practical solutions
10.51594/csitrj.v5i3.930 · 2024 · External reference
Generative AI in cybersecurity: A comprehensive review of LLM applications and vulnerabilities
10.1016/j.iotcps.2025.01.001 · 2025 · External reference
Real-time pandemic surveillance using hospital admissions and mobility data
10.1073/pnas.2111870119 · 2022 · External reference
A stochastic optimisation model to support cybersecurity within the UK national health service
2024 · External reference
A sustainable W-RLG model for attack detection in healthcare IoT systems
10.3390/su16083103 · 2024 · External reference
Cybersecurity interventions in healthcare organizations in low- and middle-income countries: Scoping review
2024 · External reference
Predictive IoT-AI model for cyber threat detection in smart healthcare environments
10.2478/jsiot-2024-0002 · 2024 · External reference
Harnessing adversarial machine learning for advanced threat detection: AI-driven strategies in cybersecurity risk assessment and fraud prevention
2024 · External reference
Unresolved reference
External reference
The role of artificial intelligence technology in predictive risk assessment for business continuity: A case study of Greece
10.3390/risks12020019 · 2024 · External reference
Revolutionizing healthcare cybersecurity: a generative AI-Driven MLOps framework for proactive threat detection and mitigation
10.30574/wjarr.2022.13.3.0174 · 2022 · External reference
Why AI must increasingly power cybersecurity in healthcare
2025 · External reference
Securing the internet of health things: Embedded federated learning-driven long short-term memory for cyberattack detection
10.3390/electronics13173461 · 2024 · External reference
The role of cybersecurity in facilitating sustainable healthcare solutions: overcoming challenges to protect sensitive data
10.51594/imsrj.v4i6.1228 · 2024 · External reference
A hybrid framework for securing 5G-enabled healthcare systems
10.48185/smhs.v2i1.1447 · 2025 · External reference
Managing risk and resilience in autonomous and intelligent systems: exploring safety in the development, deployment, and use of artificial intelligence in healthcare
2024 · External reference
Balancing privacy and performance in federated learning: a systematic literature review on methods and metrics
2024 · External reference
Using machine learning to forecast peak health care service demand in real-time during the 2022–23 winter season: a pilot in England, UK
10.1371/journal.pone.0292829 · 2025 · External reference
Privacy-preserving federated learning-based intrusion detection system for IoHT devices
10.3390/electronics14010067 · 2025 · External reference
Predictive insights into healthcare data breaches: a time series forecasting approach
2024 · External reference
Cyber-attacks are a permanent and substantial threat to health systems: education must reflect that
10.1177/20552076221104665 · 2022 · External reference
AI-driven threat intelligence for real-time cybersecurity: frameworks, tools and future directions
10.53022/oarjst.2024.12.2.0135 · 2024 · External reference
A BN driven FMEA approach to assess maritime cybersecurity risks
10.1016/j.ocecoaman.2023.106480 · 2023 · External reference
In-hospital real-time prediction of COVID-19 severity regardless of disease phase using electronic health records
10.1371/journal.pone.0294362 · 2024 · External reference
Advancing the cybersecurity of the healthcare system with self-optimising and self-adaptative artificial intelligence (part 2)
10.1007/s12553-022-00691-6 · 2022 · External reference
GRU-D-Weibull: a novel real-time individualized endpoint prediction
10.1016/j.artmed.2023.102696 · 2023 · External reference
Cyber risk in health facilities: A systematic literature review
10.3390/su12177002 · 2020 · External reference
Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: methods, taxonomy, challenges and prospects
10.1016/j.icte.2024.05.007 · 2024 · External reference
Efficient and privacy-preserving online diagnosis scheme based on federated learning in e-healthcare system
10.1016/j.ins.2023.119261 · 2023 · External reference
Cyber threat assessment and management for securing healthcare ecosystems using natural language processing
10.1007/s10207-023-00769-w · 2024 · External reference
Federated learning for privacy-preserving healthcare data analysis in the age of cybersecurity threats
2023 · External reference
Enhancing cybersecurity in cloud computing and WSNs: a hybrid IDS approach
10.1016/j.cose.2024.104081 · 2024 · External reference
Unresolved reference
2023 · External reference
Exploring the dynamics between artificial intelligence and cybersecurity in Healthcare
10.56394/aris2.v4i1.44 · 2024 · External reference
Machine learning models for the early real-time prediction of deterioration in intensive care units—a novel approach to the early identification of high-risk patients
10.3390/jcm14020350 · 2025 · External reference
Cyberthreats: a primer for healthcare professionals
10.1016/j.ajem.2023.04.001 · 2023 · External reference
A comprehensive survey on federated learning applications in computational mental healthcare
10.32604/cmes.2024.056500 · 2025 · External reference
Strengthening cybersecurity for patient data protection in Europe
10.2196/48824 · 2023 · External reference
Enhancing cybersecurity resilience through advanced red-teaming exercises and MITRE ATT&CK framework integration: a paradigm shift in cybersecurity assessment
10.1016/j.csa.2024.100077 · 2025 · External reference
Adaptive differential privacy in asynchronous federated learning for aerial-aided edge computing
10.1016/j.jnca.2024.104087 · 2025 · External reference
Cyber threat assessment and management for securing healthcare ecosystems using natural language processing
10.1007/s10207-023-00769-w · ExternalCitation · doi-reference
Advancing the cybersecurity of the healthcare system with self-optimising and self-adaptative artificial intelligence (part 2)
10.1007/s12553-022-00691-6 · ExternalCitation · doi-reference
Cyberthreats: a primer for healthcare professionals
10.1016/j.ajem.2023.04.001 · ExternalCitation · doi-reference
GRU-D-Weibull: a novel real-time individualized endpoint prediction
10.1016/j.artmed.2023.102696 · ExternalCitation · doi-reference
A clinically actionable and explainable real-time risk assessment framework for stroke-associated pneumonia
10.1016/j.artmed.2024.102772 · ExternalCitation · doi-reference
Enhancing cybersecurity in cloud computing and WSNs: a hybrid IDS approach
10.1016/j.cose.2024.104081 · ExternalCitation · doi-reference
Enhancing cybersecurity resilience through advanced red-teaming exercises and MITRE ATT&CK framework integration: a paradigm shift in cybersecurity assessment
10.1016/j.csa.2024.100077 · ExternalCitation · doi-reference
Enhanced threat intelligence framework for advanced cybersecurity resilience
10.1016/j.eij.2024.100521 · ExternalCitation · doi-reference
SecEdge: a novel deep learning framework for real-time cybersecurity in mobile IoT environments
10.1016/j.heliyon.2024.e40874 · ExternalCitation · doi-reference
Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: methods, taxonomy, challenges and prospects
10.1016/j.icte.2024.05.007 · ExternalCitation · doi-reference
Efficient and privacy-preserving online diagnosis scheme based on federated learning in e-healthcare system
10.1016/j.ins.2023.119261 · ExternalCitation · doi-reference
Enhancing cybersecurity in Edge IIoT networks: an asynchronous federated learning approach with a deep hybrid detection model
10.1016/j.iot.2024.101252 · ExternalCitation · doi-reference
Generative AI in cybersecurity: A comprehensive review of LLM applications and vulnerabilities
10.1016/j.iotcps.2025.01.001 · ExternalCitation · doi-reference
Intelligent IoT-enabled healthcare solutions implementing federated meta-learning with blockchain
10.1016/j.jii.2025.100797 · ExternalCitation · doi-reference
Design of a federated ensemble model for intrusion detection in distributed IIoT networks for enhancing cybersecurity
10.1016/j.jii.2025.100800 · ExternalCitation · doi-reference
Adaptive differential privacy in asynchronous federated learning for aerial-aided edge computing
10.1016/j.jnca.2024.104087 · ExternalCitation · doi-reference
A BN driven FMEA approach to assess maritime cybersecurity risks
10.1016/j.ocecoaman.2023.106480 · ExternalCitation · doi-reference
Towards transparent cybersecurity: The role of explainable AI in mitigating spam threats
10.1016/j.procs.2024.05.046 · ExternalCitation · doi-reference
Internal audit effectiveness for data compliance using privacy federated learning model in hospital environment
10.1016/j.procs.2025.02.076 · ExternalCitation · doi-reference
Enhancing cybersecurity incident response: AI-driven optimization for strengthened advanced persistent threat detection
10.1016/j.rineng.2025.104078 · ExternalCitation · doi-reference
Shaping the future of AI in healthcare through ethics and governance
10.1057/s41599-024-02894-w · ExternalCitation · doi-reference
Real-time pandemic surveillance using hospital admissions and mobility data
10.1073/pnas.2111870119 · ExternalCitation · doi-reference
Cyber-attacks are a permanent and substantial threat to health systems: education must reflect that
10.1177/20552076221104665 · ExternalCitation · doi-reference
Using machine learning to forecast peak health care service demand in real-time during the 2022–23 winter season: a pilot in England, UK
10.1371/journal.pone.0292829 · ExternalCitation · doi-reference
In-hospital real-time prediction of COVID-19 severity regardless of disease phase using electronic health records
10.1371/journal.pone.0294362 · ExternalCitation · doi-reference
Vulnerability to cyberattacks and sociotechnical solutions for healthcare systems: Systematic review
10.2196/46904 · ExternalCitation · doi-reference
Strengthening cybersecurity for patient data protection in Europe
10.2196/48824 · ExternalCitation · doi-reference
Predictive IoT-AI model for cyber threat detection in smart healthcare environments
10.2478/jsiot-2024-0002 · ExternalCitation · doi-reference
Revolutionizing healthcare cybersecurity: a generative AI-Driven MLOps framework for proactive threat detection and mitigation
10.30574/wjarr.2022.13.3.0174 · ExternalCitation · doi-reference
Artificial intelligence in cybersecurity: protecting national infrastructure: a USA review
10.30574/wjarr.2024.21.1.0313 · ExternalCitation · doi-reference
A comprehensive survey on federated learning applications in computational mental healthcare
10.32604/cmes.2024.056500 · ExternalCitation · doi-reference
Securing the internet of health things: Embedded federated learning-driven long short-term memory for cyberattack detection
10.3390/electronics13173461 · ExternalCitation · doi-reference
Privacy-preserving federated learning-based intrusion detection system for IoHT devices
10.3390/electronics14010067 · ExternalCitation · doi-reference
Machine learning models for the early real-time prediction of deterioration in intensive care units—a novel approach to the early identification of high-risk patients
10.3390/jcm14020350 · ExternalCitation · doi-reference
The role of artificial intelligence technology in predictive risk assessment for business continuity: A case study of Greece
10.3390/risks12020019 · ExternalCitation · doi-reference
Cyber risk in health facilities: A systematic literature review
10.3390/su12177002 · ExternalCitation · doi-reference
A sustainable W-RLG model for attack detection in healthcare IoT systems
10.3390/su16083103 · ExternalCitation · doi-reference
Artificial intelligence and machine learning techniques for anomaly detection and threat mitigation in cloud-connected medical devices
10.38124/ijisrt/ijisrt24mar1231 · ExternalCitation · doi-reference
A hybrid framework for securing 5G-enabled healthcare systems
10.48185/smhs.v2i1.1447 · ExternalCitation · doi-reference
Cybersecurity challenges in the age of AI: Theoretical approaches and practical solutions
10.51594/csitrj.v5i3.930 · ExternalCitation · doi-reference
The role of cybersecurity in facilitating sustainable healthcare solutions: overcoming challenges to protect sensitive data
10.51594/imsrj.v4i6.1228 · ExternalCitation · doi-reference
AI-driven threat intelligence for real-time cybersecurity: frameworks, tools and future directions
10.53022/oarjst.2024.12.2.0135 · ExternalCitation · doi-reference
Exploring the dynamics between artificial intelligence and cybersecurity in Healthcare
10.56394/aris2.v4i1.44 · ExternalCitation · doi-reference
