ProfessorsProfessors of Universiti MalayaFirdaus Afifi

Firdaus Afifi

Universiti Malaya

H-index: 5

Asia-Malaysia

About Firdaus Afifi

Firdaus Afifi, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Universiti Malaya, specializes in the field of information security, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Preliminary Study on the Effect of Traffic Representation on Accuracy Degradation in Machine Learning-based IoT Device Identification

GRAIN: Granular multi-label encrypted traffic classification using classifier chain

Granular network traffic classification for streaming traffic using incremental learning and classifier Chain

The rise of traffic classification in IoT networks: A survey

Firdaus Afifi Information

University	Universiti Malaya
Position	Phd Student
Citations(all)	399
Citations(since 2020)	375
Cited By	114
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	5
i10Index(since 2020)	5
Email	Access Email
University Profile Page	Universiti Malaya
Google Scholar	View Google Scholar Profile

Firdaus Afifi Skills & Research Interests

information security

machine learning

Top articles of Firdaus Afifi

Title	Journal	Author(s)	Publication Date
Preliminary Study on the Effect of Traffic Representation on Accuracy Degradation in Machine Learning-based IoT Device Identification		Nik Aqil Firdaus Afifi Faiz Zaki Nor Badrul Anuar	2022/11/14
GRAIN: Granular multi-label encrypted traffic classification using classifier chain	Computer Networks	Faiz Zaki Firdaus Afifi Shukor Abd Razak Abdullah Gani Nor Badrul Anuar	2022/8/4
Granular network traffic classification for streaming traffic using incremental learning and classifier Chain	Malaysian Journal of Computer Science	Faiz Zaki Firdaus Afifi Abdullah Gani Nor Badrul Anuar	2022/7/27
The rise of traffic classification in IoT networks: A survey		Hamid Tahaei Firdaus Afifi Adeleh Asemi Faiz Zaki Nor Badrul Anuar	2020/3/15