Ahmad Firdaus
Ahmad Firdaus
Faculty of Computing, Universiti Malaysia Pahang
Adresă de e-mail confirmată pe ump.edu.my
Citat de
Citat de
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
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
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
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
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
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
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
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
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
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
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
An improved image watermarking by modifying selected DWT-DCT coefficients
F Ernawan, D Ariatmanto, A Firdaus
IEEE Access 9, 45474-45485, 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
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
“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
Root-exploit Malware Detection using Static Analysis and Machine Learning
A Firdaus, NB Anuar
Proceedings of the Fourth International Conference on Computer Science …, 2015
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
A review on application of halalan-toyyiban risk management plan (HTRMP) and frozen food chain during warehousing activities for maintaining halal, safety, and quality
H Yahya, Z Samicho, A Firdaus, M Nurul
Journal of Applied Enviromental and Biological Sciences 6 (11), 96-102, 2016
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
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
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