Faiz Zaki

Faiz Zaki

Universiti Malaya

H-index: 5

Asia-Malaysia

About Faiz Zaki

Faiz Zaki, 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 Networking, Network Traffic Classification, Network Management, Computer Networks.

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

Leveraging Federated Learning and XAI for Privacy-Aware and Lightweight Edge Training in Network Traffic Classification

The rise of website fingerprinting on Tor: Analysis on techniques and assumptions

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

Grano-GT: A granular ground truth collection tool for encrypted browser-based Internet traffic

The rise of traffic classification in IoT networks: A survey

Applications and use Cases of Multilevel Granularity for Network Traffic Classification

Faiz Zaki Information

University

Position

___

Citations(all)

273

Citations(since 2020)

273

Cited By

53

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Faiz Zaki Skills & Research Interests

Networking

Network Traffic Classification

Network Management

Computer Networks

Top articles of Faiz Zaki

Leveraging Federated Learning and XAI for Privacy-Aware and Lightweight Edge Training in Network Traffic Classification

2023/10/9

Faiz Zaki
Faiz Zaki

H-Index: 3

Nor Badrul Anuar
Nor Badrul Anuar

H-Index: 35

The rise of website fingerprinting on Tor: Analysis on techniques and assumptions

2023/3/1

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

2022/11/14

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

Computer Networks

2022/8/4

Granular Network Traffic Classification For Streaming Traffic Using Incremental Learning And Classifier Chain

Malaysian Journal of Computer Science

2022/7/27

Grano-GT: A granular ground truth collection tool for encrypted browser-based Internet traffic

Computer Networks

2021/1/15

The rise of traffic classification in IoT networks: A survey

2020/3/15

Applications and use Cases of Multilevel Granularity for Network Traffic Classification

2020/2/28

See List of Professors in Faiz Zaki University(Universiti Malaya)

Co-Authors

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