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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2026

Natural Language Processing for Fraudulent Communication Detection

The record

Type
Publication
Date
1 January 2026
Level
International — held abroad
Journal
Combatting Digital Arrest Fraud and Identity Theft with AI and Decision Support Systems
Pages
119-166
Published
1 January 2026
DOI
10.4018/979-8-3373-4149-1.ch005
Scopus ID
105038486773
Authors
3
Open access
No
Citations
0
International co-authorship
Yes
Co-author countries
HK, ID, 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

  1. 16.4 Significantly reduce illicit financial and arms flows and combat all forms of organized crime

    TargetPrimaryHigh confidenceJudged

    Transformer-based NLP models including BERT achieve 85-95% accuracy for multilingual fraudulent communication detection with explainable AI mechanisms

    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

  2. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    Structural signal: co-authorship outside India.

    Rule-derived
    Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
    Produced by
    sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-4.4 Public safety, cybersecurity and national security

    Sub-themePrimaryHigh confidenceJudged

    Cybersecurity and fraud detection technology using advanced AI strengthens protection against digital deception and criminal communications

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Natural Language Processing for Fraudulent Communication Detection”. Kortex.

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