Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications [[electronic resource] ] : 10th International Conference, FDSE 2023, Da Nang, Vietnam, November 22–24, 2023, Proceedings / / edited by Tran Khanh Dang, Josef Küng, Tai M. Chung

• Record Nr.: UNISA996565863103316
• Autore: Dang Tran Khanh
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
• ISBN: 981-9982-96-0
• Edizione: [1st ed. 2023.]
• Descrizione fisica: 1 online resource (621 pages)
• Collana: Communications in Computer and Information Science, , 1865-0937 ; ; 1925
• Altri autori (Persone): KüngJosef; ChungTai M
• Disciplina: 005.3
• Soggetti: Application software; Artificial intelligence; Data protection; Education - Data processing; Computer and Information Systems Applications; Artificial Intelligence; Data and Information Security; Computers and Education
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Big Data Analytics and Distributed Systems -- Three-Dimensional Visualization of Legal Acts: Concept and Prototype -- An Enhanced Incentive Mechanism for Crowdsourced Federated Learning Based on Contract Theory and Shapley Value -- Biggest margin tree for the multi-class classification -- Maintenance Algorithms for 0-Complete Trees with Improved Space Utilization -- Robust Vietnam’s Motorcycle License Plate Detection and Recognition Using Deep Learning Model -- Structuring of Discourse and Annotation Method for Contribution Assessment in Collaborative Discussions -- Removal of Various Noise Types and Voice-Based Gender Classification for Dubbed Videos -- Apply Multivariate Time Series Approaches for Forecasting Vietnam ; Index 30 -- Efficient Mining of Top-K Cross-Level High Utility Itemset -- Security and Privacy Engineering -- Web browsers’ support for managing cookies. An experiment report -- Authenticating Parties in Blockchain-Enabled Inter-Organizational Processes with Configurable Challenge-Sets -- Differential Privacy for Consumer Data in Retail Data Partnerships -- Using transformer technique for intrusion detection -- Machine Learning and Artificial Intelligence for Security and Privacy -- A Siamese-Based Approach for Network Intrusion Detection Systems in Software-Defined Networks -- An Efficient Machine Learning-based Web Application Firewall with Deep Automated Pattern Categorization -- Utilizing InfoGAN and PE Header Features for Synthetic Ransomware Image Generation: An Experimental Study -- Enhancing Detection of Daily-Used Face Swap Applications by Using Focused Landmark Analysis -- Differential Privacy under Membership Inference Attacks -- Smart City and Industry 4.0 Applications -- LAVETTES: Large-scAle-dataset Vietnamese ExTractive TExt Summarization Models -- Exploring Links between Personality Traits and Environmental Attitudes with GreenBig5 System -- Study on Web Based Virtualized Containers for Software Development Lectures in BYOD -- Session-based Recommendation System Approach for Predicting Learning Performance -- A Fuzzy Logic Model for Digital Transformation Assessment of Vietnamese Higher Education Institutions -- Digital Transformation Insights from an AI Solution in Search of a Problem -- Improving Human Resources’ Efficiency with A Generative AI-based Resume Analysis Solution -- LORAP: Local Deep Neural Network for Solar Radiation Prediction -- A Digital Therapeutics System for the Diagnosis and Management of Depression: Work in Progress -- BERT-based Sentence Recommendation for Building Vietnamese Universal Dependency Treebank -- Evaluate the Efficiency of Hybrid Model based on Convolutional Neural Network and Long Short-Term Memory in Information Technology Job Graph Network -- A Dataset of Vietnamese Documents for Text Detection -- Data Analytics and Healthcare Systems -- Personalized Stress Detection System Using Physiological Data from Wearable Sensors -- Vision Transformer for Kidney Stone Detection -- Attention Models and Image Pre-Processing For Covid- 19 Detection Based on Lung Ultrasound Images -- Deep Learning Techniques for Segmenting Breast Lesion Regions and Classifying Mammography Images -- Development of a Handwriting Drawings Assessment System for Early Parkinson’s Disease Identification with Deep Learning Methods -- Breast Cancer Classification on Mammograms Using Vision Transformer -- Comparing Performance of Linear Regression Models Trained on Systemathic Forest Measurement Datasets to Predict Diameter at Breast Height -- Detection and Segmentation of Brain Tumors on 3D MR images Using 3D U-Net -- Short Papers: Security and Data Engineering -- Towards Automating Semantic Relationship Awareness in Operational Technology Monitoring -- Feature Fool Exploitation for Lightweight Anomaly Detection in Respiratory Sound -- Multiple Vehicles Detection and Tracking using Ground and Aerial Images for Vehicular Management System -- Deep Learning Approach for Tomato Leaf Disease Detection -- Invasive Ductal Carcinoma Classification from Whole Slide Image based on BRISQUE and Convolutional Neural Networks -- Robust and Accurate Automatic License Plate Recognition System -- Community Detection for Personalized Learning Pathway Recommendations on IT E-Learning System -- Improving Warped Planar Object Detection Network for Automatic License Plate Recognition.
• Sommario/riassunto: This book constitutes the proceedings of the 10th International Conference on Future Data and Security Engineering. Big Data, Security ; and Privacy, Smart City and Industry 4.0 Applications, FDSE 2023, held in Da Nang, Vietnam, during November 22–24, 2023. The 38 full papers and 8 short papers were carefully reviewed and selected from 135 submissions. They were organized in topical sections as follows: big data analytics and distributed systems; security and privacy engineering; machine learning and artificial intelligence for security and privacy; smart city and industry 4.0 applications; data analytics and healthcare systems; and short papers: security and data engineering.