Publication2025
AQUAPHISH: Leveraging Metaheuristics and Automated Machine Learning for Precision Phishing Detection
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Journal of Applied Science and Technology Trends
- Volume
- 6
- Issue
- 1
- Pages
- 87-102
- Published
- 1 January 2025
- DOI
- 10.38094/jastt61238
- Scopus ID
- 105012279379
- ISSN
- 27080757
- Authors
- 6
- Open access
- Yes
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
16 Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels
Regression-based phishing detection system using whale optimization algorithm and H2O AutoML achieving 98.3% accuracy to protect against cybersecurity threats
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Advanced machine learning methodology combining metaheuristic feature selection with AutoML advancing artificial intelligence for cybersecurity applications
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4.4 Public safety, cybersecurity and national security
Phishing detection system research supporting cybersecurity and national security through explainable machine learning frameworks
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “AQUAPHISH: Leveraging Metaheuristics and Automated Machine Learning for Precision Phishing Detection”. Kortex.