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 | 227 | 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 | 138 | 2021 |
The rise of “malware”: Bibliometric analysis of malware study MF Ab Razak, NB Anuar, R Salleh, A Firdaus Journal of Network and Computer Applications 75, 58-76, 2016 | 138 | 2016 |
Blending big data analytics: Review on challenges and a recent study F Amalina, IAT Hashem, ZH Azizul, AT Fong, A Firdaus, M Imran, ... Ieee Access 8, 3629-3645, 2019 | 130 | 2019 |
Discovering optimal features using static analysis and a genetic search based method for android malware detection A Firdaus, NB Anuar, A Karim, MFA Razak Frontiers of Information Technology & Electronic Engineering, 2017 | 99 | 2017 |
Exploring halal tourism tweets on social media A Feizollah, MM Mostafa, A Sulaiman, Z Zakaria, A Firdaus Journal of Big Data 8 (1), 72, 2021 | 78 | 2021 |
Root exploit detection and features optimization: mobile device and blockchain based medical data management A Firdaus, NB Anuar, MFA Razak, IAT Hashem, S Bachok, AK Sangaiah Journal of medical systems 42, 1-23, 2018 | 71 | 2018 |
An improved image watermarking by modifying selected DWT-DCT coefficients F Ernawan, D Ariatmanto, A Firdaus IEEE Access 9, 45474-45485, 2021 | 68 | 2021 |
Android mobile malware detection using fuzzy AHP JM Arif, MF Ab Razak, SRT Mat, S Awang, NSN Ismail, A Firdaus Journal of Information Security and Applications 61, 102929, 2021 | 63 | 2021 |
Bio-inspired for features optimization and malware detection MFA Razak, NB Anuar, F Othman, A Firdaus, F Afifi, R Salleh Arabian Journal for Science and Engineering 43, 6963-6979, 2018 | 61 | 2018 |
A Bayesian probability model for Android malware detection SRT Mat, MF Ab Razak, MNM Kahar, JM Arif, A Firdaus ICT Express 8 (3), 424-431, 2022 | 47 | 2022 |
MapReduce scheduling algorithms: a review IAT Hashem, NB Anuar, M Marjani, E Ahmed, H Chiroma, A Firdaus, ... The Journal of Supercomputing 76, 4915-4945, 2020 | 47 | 2020 |
Bio-inspired computational paradigm for feature investigation and malware detection: interactive analytics A Firdaus, NB Anuar, MFA Razak, AK Sangaiah Multimedia Tools and Applications 77, 17519-17555, 2018 | 47 | 2018 |
A hybrid particle swarm optimization-extreme learning machine approach for intrusion detection system MH Ali, M Fadlizolkipi, A Firdaus, NZ Khidzir 2018 IEEE student conference on research and development (SCOReD), 1-4, 2018 | 40 | 2018 |
Towards a systematic description of the field using bibliometric analysis: malware evolution SRT Mat, MF Ab Razak, MNM Kahar, JM Arif, S Mohamad, A Firdaus Scientometrics 126, 2013-2055, 2021 | 38 | 2021 |
Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation) R Jusoh, A Firdaus, S Anwar, MZ Osman, MF Darmawan, MF Ab Razak PeerJ Computer Science 7, e522, 2021 | 35 | 2021 |
A static analysis approach for Android permission-based malware detection systems J Mohamad Arif, MF Ab Razak, S Awang, SR Tuan Mat, NSN Ismail, ... PloS one 16 (9), e0257968, 2021 | 29 | 2021 |
Phishing detection system using machine learning classifiers TS Nur Sholihah Zaini, Deris Stiawan, Mohd Faizal Ab Razak, Ahmad Firdaus ... Indonesian Journal of Electrical Engineering and Computer Science 17 (3 …, 2020 | 28* | 2020 |
“Less give more”: evaluate and zoning android applications MF Ab Razak, NB Anuar, R Salleh, A Firdaus, M Faiz, HS Alamri Measurement 133, 396-411, 2019 | 23 | 2019 |
The rise of ransomware: A review of attacks, detection techniques, and future challenges S Kamil, HSAS Norul, A Firdaus, OL Usman 2022 International Conference on Business Analytics for Technology and …, 2022 | 21 | 2022 |