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

Publication2024

DDoS attack detection in smart home applications

The record

Type
Publication
Date
1 October 2024
Level
National
Journal
Software Practice and Experience
Volume
54
Issue
10
Pages
2086-2101
Published
1 October 2024
DOI
10.1002/spe.3249
Scopus ID
85168914749
ISSN
00380644
Authors
2
Open access
No
Citations
25
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. 16.6 Develop effective, accountable and transparent institutions at all levels

    TargetPrimaryHigh confidenceJudged

    DDoS attack detection using feature selection SVM for smart home edge nodes addresses cybersecurity threats and institutional accountability in IoT systems.

    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-4 Good Governance and Security

    ThemePrimaryHigh confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 16 label. DDoS attack detection using feature selection SVM for smart home edge nodes addresses cybersecurity threats and institutional accountability in IoT systems.

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

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KIIT Deemed to be University. “DDoS attack detection in smart home applications”. Kortex.

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