Publication2024
Phishing Detection Using Machine Learning Technique
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- 2024 2nd International Conference on Advancements and Key Challenges in Green Energy and Computing Akgec 2024
- Published
- 1 January 2024
- DOI
- 10.1109/akgec62572.2024.10868639
- Scopus ID
- 85219140743
- Authors
- 6
- Open access
- No
- Citations
- 0
- 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
Machine learning for phishing website detection addresses cybercrime prevention and protects citizens' data, supporting rule of law and justice.
- 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 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Cybersecurity technology application demonstrates digital innovation for protecting digital infrastructure and online transactions.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- 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 systems support cybersecurity and national digital security through prevention of financial fraud and identity theft.
- 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. “Phishing Detection Using Machine Learning Technique”. Kortex.