
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 2
March-April 2025
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The Dark Side of AI: How Cybercriminals Are Leveraging Machine Learning for Attacks in Multi-Cloud Hosted Applications
Author(s) | Jayasudha Yedalla |
---|---|
Country | United States |
Abstract | Cybersecurity was brought to the next level by introducing the applications of AI and ML into the practice. However, hackers still use and abuse the same technologies when executing the hacks, especially those in the multi-cloud extension. This paper focuses on how emerging cyber threats like adversarial machine learning, deep fake phishing, and bot-like malware are evading conventional protection measures. It also explores some of the weaknesses in multi-cloud systems that make them prone to AI-generated hacking attacks. Drawing from real-life scenarios and essential trends of the present times, this paper establishes the importance of strong AI protection measures and preventive measures against AI-themed cyber criminality. |
Keywords | Artificial Intelligence (AI), Machine Learning (ML), Multi-Cloud Security, Adversarial Machine Learning, Deepfake Phishing |
Published In | Volume 7, Issue 2, March-April 2025 |
Published On | 2025-03-11 |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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