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  • Conference proceedings
  • © 2019

Advances in Internet, Data and Web Technologies

The 7th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2019)

  • Presents advances in information networking and exploitation of data generated by emerging technologies such as data centers, data grids, and clouds
  • Includes the proceedings of the 7th International Conference on Emerging Internet, Data & Web Technologies, which was held at the Higher Colleges of Technology, Fujairah Campus, United Arab Emirates (UAE) on February 26–28, 2019
  • Discusses methods and practices that bring together various internetworking and emerging data technologies to capture, integrate, analyze, mine, annotate and visualize data

Conference proceedings info: EIDWT 2019.

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Table of contents (52 papers)

  1. Front Matter

    Pages i-xxv
  2. A Fuzzy-Based System for Cloud-Fog-Edge Selection in VANETs

    • Kevin Bylykbashi, Yi Liu, Keita Matsuo, Makoto Ikeda, Leonard Barolli, Makoto Takizawa
    Pages 1-12
  3. Group Speed Parameter Effect for Clustering of Vehicles in VANETs: A Fuzzy-Based Approach

    • Kosuke Ozera, Kevin Bylykbashi, Yi Liu, Makoto Ikeda, Leonard Barolli, Makoto Takizawa
    Pages 13-24
  4. A Fuzzy-Based System for Selection of Actor Nodes in WSANs Considering Actor Reliability and Load Distribution

    • Donald Elmazi, Miralda Cuka, Makoto Ikeda, Leonard Barolli, Makoto Takizawa
    Pages 25-38
  5. IoT Device Selection in Opportunistic Networks: A Fuzzy Approach Considering IoT Device Failure Rate

    • Miralda Cuka, Donald Elmazi, Keita Matsuo, Makoto Ikeda, Leonard Barolli, Makoto Takizawa
    Pages 39-52
  6. Evaluation of a Protocol to Prevent Illegal Information Flow Based on Maximal Roles in the RBAC Model

    • Shohei Hayashi, Shigenari Nakamura, Dilawaer Duolikun, Tomoya Enokido, Makoto Takizawa
    Pages 80-91
  7. Implementation of Fog Nodes in the Tree-Based Fog Computing (TBFC) Model of the IoT

    • Ryusei Chida, Yinzhe Guo, Ryuji Oma, Shigenari Nakamura, Dilawaer Duolikun, Tomoya Enokido et al.
    Pages 92-102
  8. A Framework for Automatically Generating IoT Security Quizzes in a Virtual 3D Environment Based on Linked Data

    • Wei Shi, Chenguang Ma, Srishti Kulshrestha, Ranjan Bose, Yoshihiro Okada
    Pages 103-113
  9. Authentication Protocols Using Multi-level Cognitive CAPTCHA

    • Marek R. Ogiela, Lidia Ogiela
    Pages 114-119
  10. Linguistic-Based Security in Fog and Cloud Computing

    • Urszula Ogiela, Makoto Takizawa, Lidia Ogiela
    Pages 120-127
  11. Obfuscation Algorithms Based on Congruence Equation and Knapsack Problem

    • Da Xiao, Shouying Bai, Qian Wu, Baojiang Cui
    Pages 128-136
  12. E-Learning Material Development Framework Supporting 360VR Images/Videos Based on Linked Data for IoT Security Education

    • Yoshihiro Okada, Akira Haga, Shi Wei, Chenguang Ma, Srishti Kulshrestha, Ranjan Bose
    Pages 148-160
  13. Domain Formalization for Metaphorical Reasoning

    • Flora Amato, Giovanni Cozzolino, Francesco Moscato
    Pages 161-169
  14. A Hybrid Approach for Document Analysis in Digital Forensic Domain

    • Flora Amato, Giovanni Cozzolino, Marco Giacalone, Francesco Moscato, Francesco Romeo, Fatos Xhafa
    Pages 170-179
  15. Evaluating Indoor Location Triangulation Using Wi-Fi Signals

    • Yasir Javed, Zahoor Khan, Sayed Asif
    Pages 180-186
  16. Big Data Role in Improving Intelligent Transportation Systems Safety: A Survey

    • Mohammed Arif Amin, Samah Hadouej, Tasneem S. J. Darwish
    Pages 187-199
  17. Predicting Cancer Survivability: A Comparative Study

    • Ola Abu Elberak, Loai Alnemer, Majdi Sawalha, Jamal Alsakran
    Pages 200-209

Other Volumes

  1. Advances in Internet, Data and Web Technologies

About this book

This book presents original contributions on the theories and practices of emerging Internet, Data and Web technologies and their applications in businesses, engineering and academia. As a key feature, it addresses advances in the life-cycle exploitation of data generated by digital ecosystem technologies.

The Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, Data and Web technologies are two of the most prominent paradigms, manifesting in a variety of forms such as Data Centers, Cloud Computing, Mobile Cloud, Mobile Web Services, and so on. These technologies altogether create a digital ecosystem whose cornerstone is the data cycle, from capturing to processing, analysis and visualization. The need to investigate various research and development issues in this digital ecosystem has been made even more pressing by the ever-increasing demands of real-life applications, which are based on storing and processing large amounts of data.

Given its scope, the book offers a valuable asset for all researchers, software developers, practitioners and students interested in the field of Data and Web technologies.

 

Editors and Affiliations

  • Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  • Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  • Computer Information Science (CIS), Higher Colleges of Technology, Fujairah Campus, Fujairah, United Arab Emirates

    Zahoor Ali Khan

  • Faculty of Computer Information Science, Higher Colleges of Technology, Dubai Campus, Dubai, United Arab Emirates

    Hamad Odhabi

Bibliographic Information

  • Book Title: Advances in Internet, Data and Web Technologies

  • Book Subtitle: The 7th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2019)

  • Editors: Leonard Barolli, Fatos Xhafa, Zahoor Ali Khan, Hamad Odhabi

  • Series Title: Lecture Notes on Data Engineering and Communications Technologies

  • DOI: https://doi.org/10.1007/978-3-030-12839-5

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-030-12838-8Published: 06 February 2019

  • eBook ISBN: 978-3-030-12839-5Published: 05 February 2019

  • Series ISSN: 2367-4512

  • Series E-ISSN: 2367-4520

  • Edition Number: 1

  • Number of Pages: XXV, 579

  • Number of Illustrations: 87 b/w illustrations, 222 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

Buy it now

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access