Enhancing Security and Resilience in Cyber-Physical Systems through AI-Driven Threat Detection, Formal Verification, and Blockchain Technologies

Enhancing Security and Resilience in Cyber-Physical Systems through AI-Driven Threat Detection, Formal Verification, and Blockchain Technologies

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-07-26
DOI
https://doi.org/10.71097/ijsat.v16.i3.7311
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Security and Resilience in Cyber-Physical Systems through AI-Driven Threat Detection, Formal Verification, and Blockchain Technologies

Gift Aruchi Nwatuzie
International Journal on Science and Technology
Adversarial Robustness in Machine Learning
article

Enhancing Security and Resilience in Cyber-Physical Systems through AI-Driven Threat Detection, Formal Verification, and Blockchain Technologies

Gift Aruchi Nwatuzie
article en

Abstract

Enhancing Security and Resilience in Cyber-Physical Systems through AI-Driven Threat Detection, Formal Verification, and Blockchain Technologies

International Journal on Science and TechnologyVol. 16(3)
Openalex Percentile: Top 91%
Adversarial Robustness in Machine Learning
DOIOpen Access PDFOpenAlex
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Enhancing Security and Resilience in Cyber-Physical Systems through AI-Driven Threat Detection, Formal Verification, and Blockchain Technologies — Gift Aruchi Nwatuzie · International Journal on Science and Technology (2025) | TGRS Research Map | TGRS