Curriculum Vitae

DR. FAIRUZ AMALINA BINTI NARUDIN

Senior Lecturer
  • Department of Information System
    Faculty of Computer Science and Information Technology
  • fairuz.amalina

AREAS OF EXPERTISE

  • DATA SECURITY DATA AND DIGITAL SECURITY AND PRIVACY
    Applied Science And Technology, Information And Communication Technology (ict), Digital And Cyber Security
  • DATA SCIENCES IN PREDICTIVE MODELLING
    Applied Science And Technology, Information And Communication Technology (ict), Data And Information Management And Analytics

ACADEMIC QUALIFICATION

  • PhD in COMPUTER SCIENCE, (Computer Science)
    Universiti Malaya (um)

PUBLICATIONS

Article in Journal
WoS
  1. Altarturi, Hamza H. M.; Saadoon, Muntadher; Khalid, Haqi; Amalina, Fairuz; Anuar, Nor Badrul (2026). Advanced machine learning for subject-oriented inappropriate content classification: A topic modeling approach, EGYPTIAN INFORMATICS JOURNAL. 33. doi:10.1016/j.eij.2025.100882
  2. Amalina, Fairuz; Zaki, Faiz; Altarturi, Hamza H. M.; Hanif, Hazim; Anuar, Nor Badrul (2025). MOTEC: The Malay Offensive Text Classification using Extra Tree and Language Standardization, MALAYSIAN JOURNAL OF COMPUTER SCIENCE. 38(1), 81-98
  3. Yahaya, Che Akmal Che; Firdaus, Ahmad; Zabidi, Azlee; Razak, Mohd Faizal Ab; Narudin, Fairuz Amalina (2025). Wordcloud: Detecting mobile malware with deep learning and word of cloud, EGYPTIAN INFORMATICS JOURNAL. 32. doi:10.1016/j.eij.2025.100834
  4. Amalina, F., Hashem, I. A. T., Azizul, Z. H., Fong, A. T., Firdaus, A., Imran, M., & Anuar, N. B. (2020). Blending Big Data Analytics: Review on Challenges and a Recent Study. IEEE Access, 8, 3629-3645. doi: 10.1109/access.2019.2923270
  5. Narudin, Fairuz Amalina; Feizollah, Ali; Anuar, Nor Badrul; Gani, Abdullah (2016). Evaluation of machine learning classifiers for mobile malware detection, SOFT COMPUTING. 20(1), 343-357. doi:10.1007/s00500-014-1511-6
Scopus
  1. Feizollah A., Anuar N.B., Salleh R., Amalina F., Ma'arof R.R., Shamshirband S. (2013). A study of machine learning classifiers for anomaly-based mobile botnet detection, Malaysian Journal of Computer Science. 26(4), 251-265
Article in Proceeding
WoS
  1. Feizollah, Ali; Anuar, Nor Badrul; Salleh, Rosli; Amalina, Fairuz (2015). Comparative Evaluation of Ensemble Learning and Supervised Learning in Android Malwares Using Network-Based Analysis, ADVANCED COMPUTER AND COMMUNICATION ENGINEERING TECHNOLOGY. 315. doi:10.1007/978-3-319-07674-4_95
  2. Feizollah, Ali; Anuar, Nor Badrul; Salleh, Rosli; Amalina, Fairuz (2014). Comparative Study of K-means and Mini Batch K-means Clustering Algorithms in Android Malware Detection Using Network Traffic Analysis, 2014 INTERNATIONAL SYMPOSIUM ON BIOMETRICS AND SECURITY TECHNOLOGIES (ISBAST). , 193-197
Scopus
  1. Feizollah A., Anuar N.B., Salleh R., Amalina F. (2015). Comparative evaluation of ensemble learning and supervised learning in android malwares using network-based analysis, Lecture Notes in Electrical Engineering. 315, 1025-1035. doi:10.1007/978-3-319-07674-4_95
  2. Feizollah A., Anuar N.B., Salleh R., Amalina F. (2015). Comparative study of k-means and mini batch k-means clustering algorithms in android malware detection using network traffic analysis, Proceedings 2014 International Symposium on Biometrics and Security Technologies Isbast 2014. , 193-197. doi:10.1109/ISBAST.2014.7013120