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

Publication2017

Learning to detect SQLIA using node centrality with feature selection

The record

Type
Publication
Date
28 April 2017
Level
National
Journal
International Conference on Computing Analytics and Security Trends Cast 2016
Pages
18-23
Published
28 April 2017
DOI
10.1109/cast.2016.7914933
Scopus ID
85019873722
Authors
5
Open access
No
Citations
10
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

  1. 9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

    GoalPrimaryHigh confidenceJudged

    Develops node centrality-based SQL injection detection algorithm protecting web applications from cybersecurity threats with minimal overhead

    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

Viksit Bharat @2047

  1. vb-3 Innovation, Science and Technology

    ThemePrimaryHigh confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Develops node centrality-based SQL injection detection algorithm protecting web applications from cybersecurity threats with minimal overhead

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

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KIIT Deemed to be University. “Learning to detect SQLIA using node centrality with feature selection”. Kortex.

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Learning to detect SQLIA using node centrality with feature selection · Kortex