Profesor Madya Ts. Dr. Leau Yu Beng
Profesor Madya Ts. Dr. Leau Yu Beng
Fakulti Komputeran Dan Informatik · Fakulti Komputeran Dan Informatik, UMS
lybeng@ums.edu.my
Summary

Yu-Beng Leau received the B.Sc (Multimedia Technology) degree from Universiti Malaysia Sabah, the M.SC. (Information Security) degree from Universiti Teknologi Malaysia, and the PhD (Internet Infrastructure Security) degree from University Sains Malaysia. He currently serves as a senior lecturer in computer science and deputy dean of academic and student affairs at Malaysia’s Universiti Malaysia Sabah’s Faculty of Computing and Informatics. His current research interests include intrusion detection and prediction, network security situation awareness, IPv6 security, the Internet of Things (IoT), and information-centric networks (ICN).

Profesor Madya Ts. Dr. Leau Yu Beng holds IJAZAH DOKTOR FALSAFAH from Universiti Sains Malaysia , among other qualifications, and has established themselves as a respected expert in their field.

Education
Ijazah Doktor Falsafah
Sarjana Sains (sains Komputer - Keselamatan Maklumat)
Ijazah Sarjana Muda Sains (teknologi Multimedia)
Stats
Publications:
100
Projects:
17
Grants:
RM 836,416.00
Scopus Metrics
Scopus Author ID:
56523313300
H-Index:
15
Documents:
66
Citations:
658
Research Interests
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Computer Intrusion Detection and Prevention System
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Cyber Threat and Intelligence
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Data Encryption
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Data Security Data and Digital Security and Privacy
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Digital Authentication System
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Digital Security Services (Including Digital Forensic, Steganography, Network Security, Public Key Infrastructure and Biometrics)
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Smart Digital Security System
Latest Grants
Investigating Neuro-tourism And Neuromarketing: Enhancing Cultural Heritage Through Bci, Ar, And Vr Technologies
Determining Factors Influencing Consumers' Purchase Intention Of Electric Vehicles In Labuan And Sabah.
Latest Publications
Decaf-cd: A Semi-supervised Dual-encoder Channel-aware Network For Fine-grained Forest Change Detection
Multi-source Remote Sensing Data Fusion For Aboveground Biomass Estimation In Tropical Forests: Recent Advances, Challenges, And Future Trends
Comparative Analysis Of Lightweight Stream Ciphers For Constrained Iot Resources
Using Pi-fuzzy Controller To Realize Wireless Regulated Voltage Charging
Wind Speed Prediction Method Based On Improved Stochastic Configuration Networks
Administrative Positions
Fakulti Komputeran Dan Informatik