Correction: Rustam et al. Denial of Service Attack Classification Using Machine Learning with Multi-Features. Electronics 2022, 11, 3817

Authors

Anca Delia Jurcut (ORCID: https://orcid.org/0000-0002-2705-1823)
Furqan Rustam (ORCID: https://orcid.org/0000-0001-8403-1047)
Muhammad Faheem Mushtaq (ORCID: https://orcid.org/0000-0003-1922-6205)
Imran Ashraf
Muhammad Shoaib Farooq
Ameer Hamza

Institutions

University College Dublin (IE)
Islamia University of Bahawalpur (PK)
Khwaja Fareed University of Engineering and Information Technology (PK)
Yeungnam University (KR)
University of Management and Technology (PK)

Publication Details

Journal: Electronics
Published: 2026-02-06
DOI: https://doi.org/10.3390/electronics15030703
Primary Topic: Network Security and Intrusion Detection
Type: article
Field-Weighted Citation Impact: 0.00

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article

Correction: Rustam et al. Denial of Service Attack Classification Using Machine Learning with Multi-Features. Electronics 2022, 11, 3817

Anca Delia Jurcut, Furqan Rustam, Muhammad Faheem Mushtaq, Imran Ashraf et al.

Feb 6, 2026

Electronics

Network Security and Intrusion Detection

article

Correction: Rustam et al. Denial of Service Attack Classification Using Machine Learning with Multi-Features. Electronics 2022, 11, 3817

Anca Delia Jurcut, Furqan Rustam, Muhammad Faheem Mushtaq, Imran Ashraf, Muhammad Shoaib Farooq, Ameer Hamza

February 6, 2026article en

Abstract

No abstract available for this paper.

ElectronicsVol. 15(3)

University College Dublin (IE), Islamia University of Bahawalpur (PK), Khwaja Fareed University of Engineering and Information Technology (PK), Yeungnam University (KR), University of Management and Technology (PK)

Openalex Percentile: Top 71%

Network Security and Intrusion Detection

DOI Open Access PDF OpenAlex

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