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

Publication2013

Two-stage database intrusion detection by combining multiple evidence and belief update

The record

Type
Publication
Date
1 March 2013
Level
National
Journal
Information Systems Frontiers
Volume
15
Issue
1
Pages
35-53
Published
1 March 2013
DOI
10.1007/s10796-010-9252-2
Scopus ID
84874940746
ISSN
13873326
Authors
3
Open access
No
Citations
27
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. 16.4 Significantly reduce illicit financial and arms flows and combat all forms of organized crime

    TargetPrimaryHigh confidenceJudged

    Two-stage database intrusion detection system using Dempster-Shafer theory addresses prevention of insider attacks and corruption through multi-evidence fusion for enhanced security.

    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. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetSecondaryHigh confidenceJudged

    Novel approach combining Bayesian learning with belief update mechanisms represents innovation in cybersecurity research and detection algorithm development.

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

Viksit Bharat @2047

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

    Sub-themePrimaryHigh confidenceJudged

    Cybersecurity innovation for database protection against insider threats directly supports national security and institutional trust through advanced threat detection.

    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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KIIT Deemed to be University. “Two-stage database intrusion detection by combining multiple evidence and belief update”. Kortex.

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