| The rise of “blockchain”: bibliometric analysis of blockchain study A Firdaus, MFA Razak, A Feizollah, IAT Hashem, M Hazim, NB Anuar Scientometrics 120, 1289-1331, 2019 | 256 | 2019 |
| The rise of software vulnerability: Taxonomy of software vulnerabilities detection and machine learning approaches H Hanif, MHNM Nasir, MF Ab Razak, A Firdaus, NB Anuar Journal of Network and Computer Applications 179, 103009, 2021 | 157 | 2021 |
| VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection H Hanif, S Maffeis 2022 International Joint Conference on Neural Networks (IJCNN), 2022 | 126 | 2022 |
| Halal products on Twitter: Data extraction and sentiment analysis using stack of deep learning algorithms A Feizollah, S Ainin, NB Anuar, NAB Abdullah, M Hazim Ieee Access 7, 83354-83362, 2019 | 104 | 2019 |
| Detecting opinion spams through supervised boosting approach M Hazim, NB Anuar, MF Ab Razak, NA Abdullah PloS one 13 (6), e0198884, 2018 | 49 | 2018 |
| A hybrid graph neural network approach for detecting PHP vulnerabilities R Rabheru, H Hanif, S Maffeis 2022 IEEE Conference on Dependable and Secure Computing (DSC), 1-9, 2022 | 39* | 2022 |
| Performance evaluation of machine learning algorithms for spam profile detection on Twitter using WEKA and RapidMiner MHM Hanif, KS Adewole, NB Anuar, A Kamsin Advanced Science Letters 24 (2), 1043-1046, 2018 | 17 | 2018 |
| Improved temporal IoT device identification using robust statistical features N Aqil, F Zaki, F Afifi, H Hanif, MLM Kiah, NB Anuar PeerJ Computer Science 10, e2145, 2024 | | 2024 |
| Opinion Spam Detection Using Supervised Boosting Models H Hanif | | 2018 |
Nor Badrul AnuarProfessor of Network and Cybersecurity, University of Malayaยืนยันอีเมลแล้วที่ um.edu.my