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

Publication2027

Network Intrusion Detection Using AI: A Comparative Study and Evaluation

The record

Type
Publication
Date
1 January 2027
Level
International — held abroad
Journal
Studies in Big Data
Volume
195
Pages
343-366
Published
1 January 2027
DOI
10.1007/978-3-032-22249-7_16
Scopus ID
105048053368
ISSN
21976503
Authors
5
Open access
No
Citations
0
International co-authorship
Yes
Co-author countries
IN, US

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. 9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

    GoalPrimaryModerate confidenceJudged

    LSTM deep learning networks achieve 99.56% accuracy for network intrusion detection and cybersecurity threat identification.

    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.
    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. 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

    GoalSecondaryModerate confidenceJudged

    Intrusion detection systems enhance governance and security of digital infrastructure.

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

  3. 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.

    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.
    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-themePrimaryModerate confidenceJudged

    Cybersecurity methodology development supports national and institutional security.

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

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KIIT Deemed to be University. “Network Intrusion Detection Using AI: A Comparative Study and Evaluation”. Kortex.

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