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Future Data and Security Engineering : 7th International Conference, FDSE 2020, Quy Nhon, Vietnam, November 25-27, 2020, Proceedings / edited by Tran Khanh Dang, Josef Küng, Makoto Takizawa, Tai M. Chung.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 12466
- Information Systems and Applications, incl. Internet/Web, and HCI ; 12466
- Language:
- English
- Subjects (All):
- Application software.
- Artificial intelligence.
- Data protection.
- Image processing-Digital techniques.
- Computer vision.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Data and Information Security.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Local Subjects:
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Data and Information Security.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Physical Description:
- 1 online resource (XIII, 464 pages) : 205 illustrations, 141 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, which was supposed to be held in Quy Nhon, Vietnam, in November 2020, but the conference was held virtually due to the COVID-19 pandemic. The 24 full papers (of 53 accepted full papers) presented together with 2 invited keynotes were carefully reviewed and selected from 161 submissions. The other 29 accepted full and 8 short papers are included in CCIS 1306. The selected papers are organized into the following topical headings: security issues in big data; big data analytics and distributed systems; advances in big data query processing and optimization; blockchain and applications; industry 4.0 and smart city: data analytics and security; advanced studies in machine learning for security; and emerging data management systems and applications.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-63924-2
- 9783030639242
- Access Restriction:
- Restricted for use by site license.
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