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The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Irfan Awan

    1. Department of Computer Science, University of Bradford, Bradford, UK

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  2. Muhammad Younas

    1. School of Engineering, Computing and Mat, Oxford Brookes University, Oxford, UK

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  3. Jamal Bentahar

    1. Concordia University, Montréal, Canada

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  4. Salima Benbernou

    1. Université de Paris, PARIS, France

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  • Presents recent advances on deep learning, big data and blockchain
  • Includes proceedings of the 3rd International Conference on Deep Learning, Big Data and Blockchain
  • Written by experts in the field

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 541)

Included in the following conference series:

Conference proceedings info: DBB 2022.

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About this book

Deep and machine learning is the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionise industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, etc. The ground-breaking technology of blockchain also enables decentralisation, immutability, and transparency of data and applications.

This event aims to enable synergy between these areas and provide a leading forum for researchers, developers, practitioners, and professionals from public sectors and industries to meet and share the latest solutions and ideas in solving cutting-edge problems in the modern information society and the economy. The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Some of the key topics of interest include (but are not limited to):

Deep/Machine learning based models

 Statistical models and learning

 Data analysis, insights and hidden pattern

 Data visualisation

 Security threat detection

 Data classification and clustering

 Blockchain security and trust

 Blockchain data management

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Keywords

Table of contents (10 papers)

  1. Front Matter

    Pages i-x
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  2. Blockchain and Applications

    1. Front Matter

      Pages 1-1
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    2. Apply Trust Computing and Privacy Preserving Smart Contracts to Manage, Share, and Analyze Multi-site Clinical Trial Data

      • Yusen Wu, Chao Liu, Lawrence Sebald, Phuong Nguyen, Yelena Yesha
      Pages 3-14

    3. Design Principles for Interoperability of Private Blockchains

      • Suha Bayraktar, Sezer Gören
      Pages 15-26

    4. Blockchain for Proposal Management

      • Mustafa Sanli
      Pages 27-35

  3. Machine and Deep Learning

    1. Front Matter

      Pages 37-37
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    2. One-Shot Federated Learning-based Model-Free Reinforcement Learning

      • Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Nagat Drawel
      Pages 39-52

    3. A New Approach for Selecting Features in Cancer Classification Using Grey Wolf Optimizer

      • Halah AlMazrua, Hala AlShamlan
      Pages 53-64

    4. A Smart Video Surveillance System for Helping Law Enforcement Agencies in Detecting Knife Related Crimes

      • Raed Abdallah, Salima Benbernou, Yehia Taher, Muhammad Younas, Rafiqul Haque
      Pages 65-78

    5. Biologically Inspired Variational Auto-Encoders for Adversarial Robustness

      • Sameerah Talafha, Banafsheh Rekabdar, Christos Mousas, Chinwe Ekenna
      Pages 79-93

  4. Blockchain Technology and Protocols

    1. Front Matter

      Pages 95-95
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    2. Detecting Illicit Ethereum Accounts Based on Their Transaction History and Properties and Using Machine Learning

      • Amel Bella Baci, Kei Brousmiche, Ilias Amal, Fatma Abdelhédi, Lionel Rigaud
      Pages 97-108

    3. Identifying Incentives for Extortion in Proof of Stake Consensus Protocols

      • Alpesh Bhudia, Anna Cartwright, Edward Cartwright, Julio Hernandez-Castro, Darren Hurley-Smith
      Pages 109-118

    4. Three-Valued Model Checking Smart Contract Systems with Trust Under Uncertainty

      • Ghalya Alwhishi, Jamal Bentahar, Ahmed Elwhishi
      Pages 119-133

  5. Back Matter

    Pages 135-135
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Other volumes

  1. The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)

Editors and Affiliations

  • Department of Computer Science, University of Bradford, Bradford, UK

    Irfan Awan

  • School of Engineering, Computing and Mat, Oxford Brookes University, Oxford, UK

    Muhammad Younas

  • Concordia University, Montréal, Canada

    Jamal Bentahar

  • Université de Paris, PARIS, France

    Salima Benbernou

Bibliographic Information

  • Book Title: The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)

  • Editors: Irfan Awan, Muhammad Younas, Jamal Bentahar, Salima Benbernou

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-16035-6

  • 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 2023

  • Softcover ISBN: 978-3-031-16034-9Published: 01 September 2022

  • eBook ISBN: 978-3-031-16035-6Published: 31 August 2022

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: X, 135

  • Number of Illustrations: 5 b/w illustrations, 31 illustrations in colour

  • Topics: Computational Intelligence, Data Engineering

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