ARTICLE IN ACADEMIC JOURNALS
| NO | DETAILS OF ARTICLE IN ACADEMIC JOURNALS |
|---|---|
| 1. |
Mobile Phone Network Data in the COVID-19 era: A systematic review of applications, socioeconomic factors affecting compliance to non-pharmaceutical interventions, privacy implications, and post-pandemic economic recovery strategies
2025
Source :
PLOS ONE
DOI :
10.1371/journal.pone.0322520
|
| 2. |
Federated learning in network traffic classification: Taxonomy of implementation, application, and impact on sixth-generation wireless networks
2025
Source :
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
DOI :
10.1016/j.engappai.2025.111471
|
| 3. |
Machine learning for Internet of Things (IoT) device identification: a comparative study
2025
Author(s) : Nor Badrul Anuar Bin Juma'at, Muhammad Faiz Bin Mohd Zaki Source :
PEERJ COMPUTER SCIENCE
DOI :
10.7717/peerj-cs.2873
|
| 4. |
Improved temporal IoT device identification using robust statistical features
2024
Author(s) : Miss Laiha Binti Mat Kiah, Nor Badrul Anuar Bin Juma'at, Muhammad Faiz Bin Mohd Zaki, Mohamad Hazim Bin Md Hanif Source :
PEERJ COMPUTER SCIENCE
DOI :
10.7717/peerj-cs.2145
|
| 5. |
Leveraging Federated Learning and XAI for Privacy-Aware and Lightweight Edge Training in Network Traffic Classification
2023
Author(s) : Nor Badrul Anuar Bin Juma'at, Muhammad Faiz Bin Mohd Zaki Source :
2023 IEEE International Conference on Computing, ICOCO 2023
DOI :
10.1109/ICOCO59262.2023.10397836
|
| 6. |
The rise of website fingerprinting on Tor: Analysis on techniques and assumptions
2023
Author(s) : Nor Badrul Anuar Bin Juma'at, Muhammad Faiz Bin Mohd Zaki Source :
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
DOI :
10.1016/j.jnca.2023.103582
|
| 7. |
GRAIN: Granular multi-label encrypted traffic classification using classifier chain
2022
Author(s) : Nor Badrul Anuar Bin Juma'at, Muhammad Faiz Bin Mohd Zaki Source :
COMPUTER NETWORKS
DOI :
10.1016/j.comnet.2022.109084
|
| 8. |
GRANULAR NETWORK TRAFFIC CLASSIFICATION FOR STREAMING TRAFFIC USING INCREMENTAL LEARNING AND CLASSIFIER CHAIN
2022
Author(s) : Nor Badrul Anuar Bin Juma'at, Muhammad Faiz Bin Mohd Zaki Source :
MALAYSIAN JOURNAL OF COMPUTER SCIENCE
DOI :
10.22452/mjcs.vol35no3.5
|
| 9. |
Preliminary Study on the Effect of Traffic Representation on Accuracy Degradation in Machine Learning-based IoT Device Identification
2022
Author(s) : Nor Badrul Anuar Bin Juma'at, Muhammad Faiz Bin Mohd Zaki Source :
2022 IEEE International Conference on Computing, ICOCO 2022
DOI :
10.1109/ICOCO56118.2022.10031725
|
| 10. |
Grano-GT: A granular ground truth collection tool for encrypted browser-based Internet traffic
2021
Author(s) : Nor Badrul Anuar Bin Juma'at, Muhammad Faiz Bin Mohd Zaki Source :
COMPUTER NETWORKS
DOI :
10.1016/j.comnet.2020.107617
|
| 11. |
The rise of traffic classification in IoT networks: A survey
2020
Source :
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
DOI :
10.1016/j.jnca.2020.102538
|
| 12. |
Applications and use Cases of Multilevel Granularity for Network Traffic Classification
2020
Author(s) : Nor Badrul Anuar Bin Juma'at, Muhammad Faiz Bin Mohd Zaki Source :
2020 16TH IEEE INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & ITS APPLICATIONS (CSPA 2020)
|
PROCEEDING
| NO | DETAILS OF PROCEEDING |
|---|
RESEARCH PROJECT
| GRANT | PROGRESS | STATUS |
|---|---|---|
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A Cross-platform Information And Analytics System For Sales Of Property Transaction And Rental Information
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on going |
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A Lightweight Network Traffic Classifier For Resource-constrained Networks Using Explainable Artificial Intelligence
Researcher(s) : Prof. Ts. Dr. Nor Badrul Anuar Bin Juma'at, Prof. Ts. Dr. Ainuddin Wahid Bin Abdul Wahab, Dr. Nurul Binti Japar, Shukor Bin Abd Razak |
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on going |
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Wp3: Time-sensitive Sensor Integrated Food Rescue System Towards Combating Food Insecurity
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end |
RESEARCH COLLABORATOR
| GRANT | PROGRESS | STATUS |
|---|---|---|
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Learning Deep Source Code Representation for Software Vulnerability Detection using Large Language Models
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on going |
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A Prediction Model Of Managing Building Obsolescence For Sustainable Adaption
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on going |