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Ali Feizollah
Titolo
Citata da
Citata da
Anno
Evaluation of machine learning classifiers for mobile malware detection
FA Narudin, A Feizollah, NB Anuar, A Gani
Soft Computing 20 (1), 343-357, 2014
4782014
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
4472017
A Review on Feature Selection in Mobile Malware Detection
A Feizollah, NB Anuar, R Salleh, AWA Wahab
Digital Investigation 13 (C), 22-37, 2015
2782015
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
2742017
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
1912019
Sentiment analyses of multilingual tweets on halal tourism
S Ainin, A Feizollah, NB Anuar, NA Abdullah
Tourism Management Perspectives 34, 1-8, 2020
1452020
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
1272013
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
922019
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
902014
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
632021
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
312013
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
232018
The rise of obfuscated Android malware and impacts on detection methods
WF Elsersy, A Feizollah, NB Anuar
PeerJ Computer Science 8, e907, 2022
212022
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
202019
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
192020
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
142019
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
112022
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
8*2014
Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics
MM Mostafa, A Feizollah, NB Anuar
Multimedia tools and applications 82 (8), 12423-12443, 2023
72023
Federated learning research: trends and bibliometric analysis
A Farooq, A Feizollah, MH ur Rehman
Federated Learning Systems: Towards Next-Generation AI, 1-19, 2021
42021
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Articoli 1–20