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

Publication2021

An intelligent intrusion detection scheme powered by boosting algorithm

The record

Type
Publication
Date
28 January 2021
Level
National
Journal
Proceedings of the Confluence 2021 11th International Conference on Cloud Computing Data Science and Engineering
Pages
205-209
Published
28 January 2021
DOI
10.1109/confluence51648.2021.9377076
Scopus ID
85103821038
Authors
4
Open access
No
Citations
3
International co-authorship
No
Co-author countries
IN

Classification

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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

    GoalPrimaryHigh confidenceJudged

    Machine learning-powered intrusion detection system monitors network security threats, achieving 95.57% accuracy in identifying malicious traffic and protecting 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-4.4 Public safety, cybersecurity and national security

    Sub-themePrimaryHigh confidenceJudged

    Advanced cybersecurity detection system using boosting algorithms protects against network attacks and ensures information system security and institutional safety.

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

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KIIT Deemed to be University. “An intelligent intrusion detection scheme powered by boosting algorithm”. Kortex.

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