This book constitutes the refereed proceedings of the 9th International Conference on Future Data and Security Engineering, FDSE 2022, held in Ho Chi Minh City, Vietnam, during November 23–25, 2022. machine learning and artificial intelligence for security and privacy; and security and data engineering.

​Invited Keynotes.- Towards a Foundation of Web3.- In-Memory Computing Architectures for Big data and Machine Learning Applications.- Secure and Efficient Implementation of Electronic Money.- Managing the Quality of Data and Metadata for Biobanks.- Big Data Analytics and Distributed Systems.- Towards A Privacy, Secured and Distributed Clinical Data Warehouse Architecture.- Improving the Storage Utilization of 0-Complete Trees as Index Structures.- Implement the Data Conversion System by using α-Lightweight Coreset for Validation Process.- Content Selection Methods Using User Interest Prediction Based on Similarities of Web Activities.- ImageNet Challenging Classification with the Raspberry Pis: A Federated Learning Algorithm of Local Stochastic Gradient Descent Models.- Covid-19 Detection Based on Lung Lesion Signs in Big Data Processing Environment.- Predicting Loan Repayment Using A Hybrid of Genetic Algorithms, Logistic Regression, and Artificial Neural Networks.- Performance Evaluation of Regular Decomposition and Benchmark Clustering Methods.- Security and Privacy Engineering.- Authentication of Luxury Products – Identifying Key Requirements from a Seller and Consumer Perspective.- Analysis of A New Practical SPN-based Scheme in the Luby-Rackoff Model.- Authorization and Access Control for Different Database Models: Requirements and Current State of the Art.- A Hierarchical Deterministic Wallet using Ed25519 Digital Signature Scheme.- A Secure Framework for Internet of Medical Things Security Based System using Lightweight Cryptography enabled Blockchain.- Signature Algorithms on Non-commutative Algebras over Finite Fields of Characteristic Two.- Design a Smart Lock System Using Fingerprint and Password for Enhancing Security.- Machine Learning and Artificial Intelligence for Security and Privacy.- Towards an Attention-based Threat Detection System for IoT Networks.- Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare.- pPATE: A Pragmatic Private Aggregation of Teacher Ensembles Framework by Sparse Vector Technique based Differential Privacy, Paillier Cryptosystem and Human-in-the-loop.- Vietnamese Text’s Writing Styles Based Authorship Identification Model.- Application of Machine Learning in Malware Detection.- Smart City and Industry 4.0 Applications.- Text Classification Models and Topic Models: An Overall Picture and A Case Study in Vietnamese.- Deep Hybrid Models for Forecasting Stock Midprices from the High-Frequency Limit Order Book.- An Image Denoising Model based on Nonlinear Partial Diferential Equation Using Deep Learning.- Recommendations in E-Commerce Systems based on Deep Matrix Factorization.- AttendanceKit: A set of Role-based Mobile Applications for Automatic Attendance Checking with UHF RFIDusing Realtime Firebase and Face Recognition.- Poses Classification in a Taekwondo Lesson using Skeleton Data extracted from Videos with Shallow and Deep Learning Architectures.- Social Distancing Violation Detection in Video using ChessBoard and Bird's-eye Perspective.- 3D-FaultSeg-UNet: 3D Fault Segmentation in Seismic Data Using Bi-stream U-Net.- Applying Artificial Intelligence to Plan Flight Paths for Aircraft at Subsonic Speeds.- Capacity Building in Government: Towards Developing A Standard for A Functional Specialist in AI for Public Services.- On the Feasibility of Machine Learning Models for Customer Spending Prediction Problem.- Forecasting the Opening and Closing Price Trends of Stock Using Hybrid Models and Artificial Intelligence Algorithm.- Artificial Intelligence Use in e-Government Services: A Systematic Interdisciplinary Literature Review.- Face Recognition based on Deep Learning and Data Augmentation.- An Approach forSimilarity Vietnamese Documents Detection from English Documents.- Combine Clasification Algorithm and Centernet Model to Predict Trafic Density.- Data Analytics and Healthcare Systems.- Comparison of Health Indicators Construction for Concrete Structure Using Acoustic Emission Hit and Kullback-Leibler Divergence.- Lung and Colon Tumor Classification Based on Transfer Learning-Based Techniques.- An Enhanced Diabetes Mellitus Prediction using Feature Selection-Based Type-2 Fuzzy Model.- A Novel Approach of Using Neural Circuit Policies for COVID-19 Classification on CT-images.- Lung Lesions Segmentation and Classification with Deep Neural Networks.- Security and Data Engineering.- Image Denoising using Fully Connected Network with Reinforcement Learning.- Energy Harvesting Aware for Delay-efficient Data Aggregation in Battery-free IoT Sensors.- Deep Models for Mispronounce Prediction for Vietnamese Learners of English.- An Approach to Hummed-tune and Song Sequences Matching.- 84 Birds Classification using Transfer Learning and EfficientNetB2.- A Session-based Recommender System for Learning Resources.- A Drowsiness Detection System Based on Eye Landmarks Using IoT.- A Novel Approach for Vietnamese Speech Recognition Using Conformer.- Enhancing obfuscated malware detection with machine learning techniques.- Detecting Intrusion using Multiple Datasets in Software-Defined Networks.- Detecting Exams Fraud Using Transfer Learning and Fine-tuning for ResNet50.- Shape of Pill Recognition Using Mask R-CNN.

Chapters "Towards a Foundation of Web3" and "Secure and Efficient Implementation of Electronic Money" are available Open Access under a Creative Commons Attribution 4.0 International License via link.springer.com.