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eISSN: 2581-9615 || 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

AI-Powered Cyberattacks: Impacts and Defense Strategies

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  • AI-Powered Cyberattacks: Impacts and Defense Strategies

Nimra Bashir * and Muhammad Zeeshan Zafar

Department of Computer Science, Bahauddin Zakariya University, Multan, Punjab, Pakistan.

Review Article

World Journal of Advanced Research and Reviews, 2025, 25(03), 510-512

Article DOI: 10.30574/wjarr.2025.25.3.0751

DOI url: https://doi.org/10.30574/wjarr.2025.25.3.0751

Received on 28 January 2025; revised on 05 March 2025; accepted on 07 March 2025

The rapid advancement of artificial intelligence (AI) has empowered cybercriminals to launch sophisticated attacks that bypass traditional defenses. These AI-powered cyberattacks—ranging from automated phishing and adversarial AI evasion to deepfake fraud—pose unprecedented threats to global cybersecurity. This review examines the evolution and multifaceted impacts of AI-driven threats on both individuals and organizations, evaluates current defense strategies, and proposes a comprehensive, multi-layered defense framework. This framework integrates AI-based detection with human oversight and international collaboration while addressing operational challenges and ethical concerns. The findings underscore the urgent need for proactive and adaptive security measures to counter the emerging threats. 

AI-Powered Cyberattacks; Cybersecurity; Adversarial AI; Phishing; Deepfake; Collaborative Defense

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-0751.pdf

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Nimra Bashir and Muhammad Zeeshan Zafar. AI-Powered Cyberattacks: Impacts and Defense Strategies. World Journal of Advanced Research and Reviews, 2025, 25(3), 510-512. Article DOI: https://doi.org/10.30574/wjarr.2025.25.3.0751

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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