Reference health
<span>The Evolving Thread Landscape Pf Ai-Powered Cyberattacks:A Multi-Faceted Approach to Defense And Mitigate</span>&nbsp;
32/32 checkable references clean · checked 2026-09-03
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
30 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 32 checked references that resolve
resolves10.1109/ACCESS.2020.2968045
Harnessing Artificial Intelligence Capabilities to Improve Cybersecurity
resolves10.1145/3613905.3638175
Integrating Communications and Surveillance Technologies for effective community policing in Nigeria
resolves10.1109/ICISS49785.2020.9316003
A review of various challenges in cybersecurity using Artificial Intelligence
resolves10.1109/ISTAS57930.2023.10306181
Trust-Based Classification in Community Policing: A Systematic Review
resolves10.30574/wjarr.2022.16.2.1192
Wireless CCTV, a workable tool for overcoming security challenges during elections in Nigeria
resolves10.1038/s42256-019-0109-1
Trusting artificial intelligence in cybersecurity is a double-edged sword
resolves10.1007/s11023-019-09504-8
Three Ethical Challenges of Applications of Artificial Intelligence in Cybersecurity
resolves10.30574/wjarr.2023.19.2.1546
Portfolio on Web-Based Medical Record Identification system for Nigerian public Hospitals
resolves10.1007/s43926-020-00001-4
Role of Artificial Intelligence in the Internet of Things (IoT) cybersecurity
resolves10.30574/wjarr.2023.17.3.0367
Using computer expert system to solve complications primarily due to low and excessive birth weights at delivery: Strategies to reviving the ageing and diminishing population
resolves10.1109/GLOCOMW.2018.8644127
Malicious Node Detection in Vehicular Ad-Hoc Network Using Machine Learning and Deep Learning
resolves10.3390/jcp1010011
Enhancing Machine Learning Prediction in Cybersecurity Using Dynamic Feature Selector
resolves10.1109/ISSPIT.2018.8705147
Machine learning-based recommendation trust model for machine-to-machine communication
resolves10.1109/ISSPIT47144.2019.9001743
Detection of Adversary Nodes in Machine-To-Machine Communication Using Machine Learning Based Trust Model
resolves10.1109/ACCESS.2022.3151248
Machine Learning and Deep Learning Approaches for CyberSecurity: A Review
resolves10.1109/COMST.2015.2494502
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
resolves10.3390/jcp2030027
Cybersecurity Threats and Their Mitigation Approaches Using Machine Learning—A Review
resolves10.1007/s40745-022-00444-2
Machine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects
resolves10.1109/ISSPIT.2018.8642735
A Comparative Analysis of Unsupervised Machine Techniques for Liver Disease Prediction
resolves10.30574/wjarr.2023.19.2.1547
A guide to the methodology and system analysis section of a computer science project
resolves10.1007/s40747-021-00494-8
The impacts of artificial intelligence techniques in augmentation of cybersecurity: a comprehensive review
The 30 references without a DOI — listed, not checked
no DOI — not checkedInvestigating the dependability of Weather Forecast Application: A Netnographic study
no DOI — not checkedArtificial intelligence in cybersecurity
no DOI — not checkedref5
no DOI — not checkedArtificial intelligence application in cybersecurity and cyberdefense
no DOI — not checkedref9
no DOI — not checkedThe impact and limitations of artificial intelligence in cybersecurity: a literature review
no DOI — not checkedArtificial intelligence for cybersecurity: Literature review and future research directions
no DOI — not checkedArtificial intelligence in cybersecurity
no DOI — not checkedChallenges and Solution for Artificial Intelligence in Cybersecurity of the USA
no DOI — not checkedARTIFICIAL INTELLIGENCE IS A THREAT TO CYBERSECURITY. IT'S ALSO A SOLUTION
no DOI — not checkedDevelopment of a Novel Approach to Phishing Detection Using Machine Learning
no DOI — not checkedArtificial intelligence for cybersecurity: A systematic mapping of literature
no DOI — not checkedref26
no DOI — not checkedA Systematic Review of Defensive and Offensive Cybersecurity with Machine Learning
no DOI — not checkedref30
no DOI — not checkedCybersecurity data science: an overview from machine learning perspective
no DOI — not checkedMachine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects
no DOI — not checkedPerformance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity
no DOI — not checkedDetection and identification of malicious cyber-attacks in connected and automated vehicles' real-time sensors
no DOI — not checkedMachine learning in cybersecurity: A review
no DOI — not checkedref40
no DOI — not checkedCybersecurity data science: an overview from machine learning perspective
no DOI — not checkedPerformance comparison and current challenges of using machine learning techniques in cybersecurity
no DOI — not checkedMachine learning in cybersecurity: A Guide
no DOI — not checkedMachine Learning Algorithms for Cybersecurity: Detecting and Preventing Threats
no DOI — not checkedMachine Learning Algorithms for Cybersecurity: Detecting and Preventing Threats
no DOI — not checkedThe role of machine learning in network anomaly detection for cybersecurity
no DOI — not checkedref60
no DOI — not checkedref62
no DOI — not checkedref63
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