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 | 138 | 2019 |
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 | 108 | 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 | 76 | 2019 |
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 | 63 | 2018 |
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 | 61 | 2017 |
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 | 49 | 2018 |
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 | 43 | 2021 |
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 | 37 | 2018 |
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 | 34 | 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 | 31 | 2021 |
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 | 31 | 2020 |
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 | 28 | 2018 |
An improved image watermarking by modifying selected DWT-DCT coefficients F Ernawan, D Ariatmanto, A Firdaus IEEE Access 9, 45474-45485, 2021 | 27 | 2021 |
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 | 24 | 2021 |
“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 | 22 | 2019 |
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 | 15 | 2022 |
Root-exploit Malware Detection using Static Analysis and Machine Learning A Firdaus, NB Anuar Proceedings of the Fourth International Conference on Computer Science …, 2015 | 15 | 2015 |
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 | 14 | 2021 |
Android botnets: a proof-of-concept using hybrid analysis approach A Karim, V Chang, A Firdaus Journal of Organizational and End User Computing (JOEUC) 32 (3), 50-67, 2020 | 12 | 2020 |
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 | 12 | 2020 |