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

Publication2022

Data Security and Anonymization in Neighborhood Attacks in Clustered Network in Internet of Things (NIoT)

The record

Type
Publication
Date
1 November 2022
Level
National
Journal
International Journal on Recent and Innovation Trends in Computing and Communication
Volume
10
Issue
11
Pages
28-32
Published
1 November 2022
DOI
10.17762/ijritcc.v10i11.5776
Scopus ID
85144411093
ISSN
23218169
Authors
3
Open access
Yes
Citations
2
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 Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels

    GoalPrimaryModerate confidenceJudged

    Graph-based network anonymization technique protects privacy in clustered IoT systems through K-nearest neighbor approaches while preserving data utility for social network analysis.

    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

Viksit Bharat @2047

  1. vb-4 Good Governance and Security

    ThemePrimaryModerate confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 16 label. Graph-based network anonymization technique protects privacy in clustered IoT systems through K-nearest neighbor approaches while preserving data utility for social network analysis.

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

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Citing this record

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KIIT Deemed to be University. “Data Security and Anonymization in Neighborhood Attacks in Clustered Network in Internet of Things (NIoT)”. Kortex.

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