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

Publication2022

A deep learning based intelligent framework to mitigate DDoS attack in fog environment

The record

Type
Publication
Date
1 March 2022
Level
National
Journal
Journal of King Saud University Computer and Information Sciences
Volume
34
Issue
3
Pages
825-831
Published
1 March 2022
DOI
10.1016/j.jksuci.2019.04.010
Scopus ID
85064592922
ISSN
13191578
Authors
2
Open access
Yes
Citations
121
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

    Deep learning framework for DDoS attack detection and mitigation in fog computing environments protects system security and reduces network disruptions.

    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

    Cybersecurity detection system using machine learning advances national security and information system protection against distributed denial of service attacks.

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

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KIIT Deemed to be University. “A deep learning based intelligent framework to mitigate DDoS attack in fog environment”. Kortex.

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