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This book constitutes the refereed proceedings of the 12th International Conference on Future Data and Security Engineering, FDSE 2025, held in Ho Chi Minh City, Vietnam, during November 27 29, 2025.
The 56 full papers and 10 short papers presented in these two volumes were carefully reviewed and selected from 215 submissions. The papers are organized in the following topical sections: Part I: Invited Keynote; Advances in Machine Learning for Big Data Analytics; Security and Privacy Engineering; Query Processing and Optimization; Data Analytics and Healthcare Systems; Smart City and Industry 4.0 Applications. Part II: Invited Keynote; Advances in Machine Learning for Big Data Analytics; Security and Privacy Engineering; Query Processing and Optimization; Data Analytics and Healthcare Systems; Smart City and Industry 4.0 Applications; Short Papers: Security and Data Engineering.
List of contents
.- Invited Keynote.
.- Health Care Data for Medical Research.
.- Advances in Machine Learning for Big Data Analytics.
.- Building a Machine Learning Algorithm for Identifying the Same Entity Using Data
Strings in .JP Domain Name Registry.
.- A Gloss Annotation Scheme for Enhanced Sign Language Translation.
.- EnhanceGuard: Lightweight and Robust Digital Watermarking with High Fidelity
and Resistance to Image Degradations.
.- Development of an Explainable AI System for Brain Tumor Diagnosis from MRI
Scans.
.- Short -Term Stock Price Prediction Using an Ensemble Hidden Markov Model.
.- Security and Privacy Engineering.
.- CypherFuzzer: A Tool for Testing Access Control in Graph Databases.
.- Evaluating Sampling Strategies and Generative Models for Addressing Class
Imbalance in Intrusion Detection Systems.
.- CIDIX: Collaborative Intrusion Detection through Human AI Interaction and
Explainable Visual Analytics.
.- UABAC: A Flexible and Scalable ABAC Framework Unifying DAC, MAC, and RBAC.
.- Evaluating the robustness of graphs against link prediction attack threats.
.- Query Processing and Optimization.
.- On Online Self-Organizing Linear Search.
.- Improving RFID network planning efficiency with Genetic algorithm - Hopfield
network integrated model.
.- A Physics-Informed Neural Network for Modeling Chloride Diffusion in Reinforced
Concrete Structure.
.- dLTQueue: A Non-Blocking Distributed-Memory Multi-Producer Single-Consumer
Queue.
.- An Improvement of Distinguished-Bit Tracking Knowledge-based Query Tree for
RFID Tag Identification.
.- Data Analytics and Healthcare Systems.
.- Task-Specific Ensemble Learning for Parkinson s Disease Diagnosis Using
Acoustic Features.
.- Multimodal Stress Detection with LLM using DAIC-WOZ.
.- Optimizing MRI Brain Tumor Classification with CNNs and Stacking Ensemble
Techniques.
.- Enhanced Detection and Classification of Pulmonary Diseases Using an Ensembled
Convolutional Neural Network Architecture on Chest X-Ray Images.
.- Smart City and Industry 4.0 Applications.
.- Speaking the Same Traffic Language: A Florida Tallinn Case Study in Cross-City
Incident Prediction.
.- Synthesizing GenAI Research in Developing Countries: A Review of Faculty
Adoption and its Outcomes.
.- V-Scribe: Structured Transcription of Vietnamese Speech for Digital Knowledge
Management.
.- Spatiotemporal Traffic Prediction: Advanced Framework for Intelligent Network
Management.
.- Predicting Real Estate Prices Using Ensemble Learning and Advanced Feature
Engineering.
.- Generating Semantic BEV Maps from Dashcam Images for Autonomous Driving.
.- End-to-End IoT-to-AI Framework for Early Water-Quality Anomaly Detection in
Intensive Shrimp Farming.
.- Bagged CoAtNet for Improving Intangible Cultural Heritage Image Classification.
.- MobilKAN-H: Cross-Dataset Deepfake Detection Using a Hybrid MobileNet-LSTM HMM-KAN Architecture.
.- Water Quality Time-series Forecasting.
.- Parental Support for Neurodevelopmental Disorders in Vietnam: A Social Media
Analysis.
