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

Publication2025

Secure Net: Leveraging Machine Learning to Curb Cyber Attacks

The record

Type
Publication
Date
1 January 2025
Level
National
Journal
3rd International Conference on Advancements in Smart Secure and Intelligent Computing Assic 2025
Published
1 January 2025
DOI
10.1109/assic64892.2025.11158623
Scopus ID
105018057649
Authors
2
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

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Machine learning ensemble models applied to detect cache spoofing and content poisoning attacks in named data networks using Bayesian network classifiers.

    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. 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

    GoalSecondaryHigh confidenceJudged

    Cybersecurity research directly supporting law enforcement detection capabilities against network-based attacks threatening institutional and personal data security.

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

Viksit Bharat @2047

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryHigh confidenceJudged

    Develops machine learning algorithms for network threat detection, advancing AI capabilities in security applications.

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

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KIIT Deemed to be University. “Secure Net: Leveraging Machine Learning to Curb Cyber Attacks”. Kortex.

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Secure Net: Leveraging Machine Learning to Curb Cyber Attacks · Kortex