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eISSN: 2582-8185 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Advances in Cybersecurity and AI: Integrating Machine Learning, IoT, and Smart Systems for Resilience and Innovation Across Domains

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  • Advances in Cybersecurity and AI: Integrating Machine Learning, IoT, and Smart Systems for Resilience and Innovation Across Domains

Yara Shamoo *

Department of Accounting, Saint Leo University, Florida, USA.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(02), 2450–2461
Article DOI: 10.30574/wjarr.2024.23.2.2603
DOI url: https://doi.org/10.30574/wjarr.2024.23.2.2603
 
Received on 18 July 2024; revised on 24 August 2024; accepted on 27 August 2024
 
Artificial Intelligence (AI) is revolutionizing cybersecurity by offering enhanced threat detection, predictive analytics, and automated responses. However, AI also introduces significant challenges, including bias, lack of transparency, and vulnerability to adversarial attacks. This paper examines the dual role of AI in cybersecurity, providing a comprehensive analysis of its benefits and drawbacks, and discussing the future of AI in securing digital environments.
 
Cybersecurity; Deep Learning; Malware detection; LLMS; AI
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-2603.pdf

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Yara Shamoo. Advances in Cybersecurity and AI: Integrating Machine Learning, IoT, and Smart Systems for Resilience and Innovation Across Domains. World Journal of Advanced Research and Reviews, 2024, 23(2), 2450-2461. Article DOI: https://doi.org/10.30574/wjarr.2024.23.2.2603

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