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Open Access

Peer-reviewed

Research Article

An efficient detection of Sinkhole attacks using machine learning: Impact on energy and security

Muhammad Zulkifl Hasan ,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: gs58279@student.upm.edu.my

Affiliation Department of Communication Technology and Network,Faculty of Computer Science and Information Technology, Universiti Putra Malaysia(UPM), Serdang, Malaysia

https://orcid.org/0000-0002-2733-5527

⨯
Zurina Mohd Hanapi,

Roles Supervision, Validation

Affiliation Department of Communication Technology and Network,Faculty of Computer Science and Information Technology, Universiti Putra Malaysia(UPM), Serdang, Malaysia
⨯
Zuriati Ahmad Zukarnain,

Roles Supervision, Validation

Affiliation Department of Communication Technology and Network,Faculty of Computer Science and Information Technology, Universiti Putra Malaysia(UPM), Serdang, Malaysia
⨯
Fahrul Hakim Huyop,

Roles Supervision, Validation

Affiliation Department of Communication Technology and Network,Faculty of Computer Science and Information Technology, Universiti Putra Malaysia(UPM), Serdang, Malaysia

https://orcid.org/0000-0002-1377-7519

⨯
Muhammad Daniel Hafiz Abdullah

Roles Supervision, Validation

Affiliation Department of Communication Technology and Network,Faculty of Computer Science and Information Technology, Universiti Putra Malaysia(UPM), Serdang, Malaysia
⨯

An efficient detection of Sinkhole attacks using machine learning: Impact on energy and security

Muhammad Zulkifl Hasan,
Zurina Mohd Hanapi,
Zuriati Ahmad Zukarnain,
Fahrul Hakim Huyop,
Muhammad Daniel Hafiz Abdullah

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Published: March 17, 2025
https://doi.org/10.1371/journal.pone.0309532

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