Ali Feizollah
Ali Feizollah
Research Felow, University of Malaya
Adresă de e-mail confirmată pe um.edu.my
Citat de
Citat de
Evaluation of machine learning classifiers for mobile malware detection
FA Narudin, A Feizollah, NB Anuar, A Gani
Soft Computing 20 (1), 343-357, 2014
The Evolution of Android Malware and Android Analysis Techniques
K Tam, A Feizollah, NB Anuar, R Salleh, L Cavallaro
ACM Computing Surveys 49 (4), 1-41, 2017
A Review on Feature Selection in Mobile Malware Detection
A Feizollah, NB Anuar, R Salleh, AWA Wahab
Digital Investigation 13 (C), 22-37, 2015
AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection
A Feizollah, NB Anuar, R Salleh, G Suarez-Tangil, S Furnell
Computers & Security 65 (C), 121-134, 2017
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
A Study Of Machine Learning Classifiers for Anomaly-Based Mobile Botnet Detection
Ali Feizollah ,Nor Badrul Anuar,Rosli Salleh
Malaysian Journal of Computer Science 26 (4), 251-265, 2013
Sentiment analyses of multilingual tweets on halal tourism
S Ainin, A Feizollah, NB Anuar, NA Abdullah
Tourism Management Perspectives 34, 1-8, 2020
Comparative Study of K-means and Mini Batch Kmeans Clustering Algorithms in Android Malware Detection Using Network Traffic Analysis
A Feizollah, NB Anuar, R Salleh, F Amalina
2014 International Symposium on Biometrics and Security Technologies (ISBAST …, 2014
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 (1), 83354-83362, 2019
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
Anomaly detection using cooperative fuzzy logic controller
A Feizollah, S Shamshirband, NB Anuar, R Salleh, ML Mat Kiah
Intelligent Robotics Systems: Inspiring the NEXT: 16th FIRA RoboWorld …, 2013
Evaluation of Network Traffic Analysis Using Fuzzy C-Means Clustering Algorithm in Mobile Malware Detection
A Feizollah, NB Anuar, R Salleh
Advanced Science Letters 24 (2), 929–932, 2018
Examining what people tweet in relation to halal cosmetics-related topics
S Ainin, A Feizollah, NB Anuar, NAB Abdullah, MNF Sahran
Cogent Arts & Humanities 7 (1), 1724593, 2020
Challenges and Recommended Solutions in Multi-Source and Multi-Domain Sentiment Analysis
NA Abdullah, A Feizollah, A Sulaiman, NB Anuar
IEEE Access 7 (1), 144957-144971, 2019
User Profiling in Anomaly Detection of Authorization Logs
Z Zamanian, A Feizollah, NB Anuar, LBM Kiah, K Srikanth, S Kumar
International Journal of Engineering Research in Computer Science and …, 2019
Comparative Evaluation of Ensemble Learning and Supervised Learning in Android Malwares Using Network-Based Analysis
Ali Feizollah, Nor Badrul Anuar, Rosli Salleh, Fairuz Amalina
1st International Conference on Communication and Computer Engineering …, 2014
The rise of obfuscated Android malware and impacts on detection methods
WF Elsersy, A Feizollah, NB Anuar
PeerJ Computer Science 8, e907, 2022
Federated learning research: trends and bibliometric analysis
A Farooq, A Feizollah, MH ur Rehman
Federated Learning Systems: Towards Next-Generation AI, 1-19, 2021
Understanding COVID-19 Halal Vaccination Discourse on Facebook and Twitter Using Aspect-Based Sentiment Analysis and Text Emotion Analysis
A Feizollah, NB Anuar, R Mehdi, A Firdaus, A Sulaiman
International Journal of Environmental Research and Public Health 19 (10), 6269, 2022
A malware analysis and detection system for mobile devices/Ali Feizollah
F Ali
University of Malaya, 2017
Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.
Articole 1–20