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Future Data and Security Engineering de Tran Khanh Dang

Future Data and Security Engineering: Lecture Notes in Computer Science, cartea 13076

Editat de Tran Khanh Dang, Josef Küng, Tai M. Chung, Makoto Takizawa
en Limba Engleză Paperback – 19 noi 2021
This book constitutes the proceedings of the 8th International Conference on Future Data and Security Engineering, FDSE 2021, which was supposed to be held in Ho Chi Minh City, Vietnam, in November 2021, but the conference was held virtually due to the COVID-19 pandemic.
The 24 full papers presented together with 2 invited keynotes were carefully reviewed and selected from 168 submissions. The selected papers are organized into the following topical headings: Big Data Analytics and Distributed Systems; Advances in Machine Learning for Big Data Analytics; Industry 4.0 and Smart City: Data Analytics and Security; Blockchain and IoT Applications; Machine Learning and Artificial Intelligence for Security and Privacy; Emerging Data Management Systems and Applications.
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Specificații

ISBN-13: 9783030913861
ISBN-10: 3030913864
Pagini: 440
Ilustrații: XIII, 426 p. 183 illus., 132 illus. in color.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.66 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Invited Keynotes.- Blockchain Technology: Intrinsic Technological and Socio-Economic Barriers.- Data Quality for Medical Data Lakelands.- Security Issues in Big Data.- Authorization Policy Extension for Graph Databases.- A Model-Driven Approach for Enforcing Fine-Grained Access Control for SQL Queries.- On Applying Graph Database Time Models for Security Log Analysis.- Big Data Analytics and Distributed Systems.- Integrating Web Services in Smart Devices using Information Platform based on Fog Computing Model.- Adaptive Contiguous Scheduling for Data Aggregation in Multichannel Wireless Sensor Networks.- Relating Network-Diameter and Network-Minimum-Degree for Distributed Function Computation.- Growing Self-Organizing Maps for Metagenomic Visualizations Supporting Disease Classification.- Advances in Big Data Query Processing and Optimization.- On Norm-Based Locality Measures of 2-Dimensional Discrete Hilbert Curves.- A Comparative Study of Join Algorithms in Spark.- Blockchain and Applications.- Blockchain-based Forward and Reverse Supply Chains for E-Waste Management.- A Pragmatic Blockchain Based Solution for Managing Provenance and Characteristics in the Open Data Context.- Industry 4.0 and Smart City: Data Analytics and Security.- OAK: Ontology-based Knowledge Map Model for Digital Agriculture.- A Novel Approach to Diagnose ADHD Using Virtual Reality.- A Three-way Energy Efficient Authentication Protocol using Bluetooth Low Energy.- Clustering-based Deep Autoencoders for Network Anomaly Detection.- Flexible Platform for Integration, Collection, and Analysis of Social Media for Open Data Providers in Smart Cities.- Post-quantum Digital-signature Algorithms on Finite 6-dimensional Non-commutative Algebras.- Advanced Studies in Machine Learning for Security.- Malicious-Traffic Classification using Deep Learning with Packet Bytes and Arrival Time.- Detecting Malware based on Dynamic Analysis Techniques using Deep Graph Learning.- Understanding the Decision of Machine learning based Intrusion Detection Systems.- Emerging Data Management Systems and Applications.- Combining Support Vector Machines for Classifying Fingerprint Images.- Toward an Ontology for Improving Process Flexibility.- Sentential Semantic Dependency Parsing for Vietnamese.- An In-depth Analysis of OCR Errors for Unconstrained Vietnamese Handwriting.