A Comprehensive Review on the Role of AI in Phishing Detection Mechanisms

Clicks: 1
ID: 312803
2025
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #313 of 705 articles by views in Journal of Computing & Biomedical Informatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 705 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The integration of Artificial Intelligence (AI) in various domains, such as healthcare, education, business, and generative applications, is thoroughly reviewed in this paper emphasizing the transformative and detective power of AI. The operational efficiency of the applications has been greatly increased by AI-driven innovations like automation, personalized healthcare solutions, and improved decision-making optimization. In addition to providing a critical analysis of AI's advantages and disadvantages, the review synthesizes findings from several studies and addresses ethical concerns, data privacy issues, bias, and security risks related with generative AI technologies. The implications of AI-driven disinformation and the changing regulatory environment are two promising new insights this paper offers. Even with significant advancements, there are still issues that need to be addressed, especially with regard to managing the social effects of AI, creating uniform ethical frameworks, and guaranteeing data quality. This study adds to the body of literature by highlighting the necessity of strong mitigation techniques, interdisciplinary cooperation, and ethical AI governance to promote responsible AI deployment. Recommendations for future work, including the need to develop robust strategies of alleviation, ethical instructions and interdisciplinary cooperation to ensure that AI technology is successfully implemented.
Reference Key
imported_1777056963_69ebbcc3b0383 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hadi Abdullah
Journal Journal of Computing & Biomedical Informatics
Year 2025
DOI
DOI not found
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.