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Artificial Intelligence and Blockchain for Future Cybersecurity Applications

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  • © 2021

Overview

Editors:
  1. Yassine Maleh

    1. Sultan Moulay Slimane University, Beni Mellal, Morocco

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  2. Youssef Baddi

    1. Chouaib Doukkali University, El Jadida, Morocco

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  3. Mamoun Alazab

    1. Charles Darwin University, Canberra, Australia

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  4. Loai Tawalbeh

    1. Texas A&M University, San Antonio, USA

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  5. Imed Romdhani

    1. Edinburgh Napier University, Edinburgh, UK

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  • Presents the state-of-the-art and the latest discoveries in the field of Artificial Intelligence and Blockchain techniques and methods for future cybersecurity applications
  • Proposes new models, practical solutions and technological advances related to Artificial Intelligence and Blockchain for Cybersecurity
  • Highlights and discuss the recent development and emerging trends in AI/Blockchain for Cybersecurity and smart cyber Ecosystems

Part of the book series: Studies in Big Data (SBD, volume 90)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xv
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  2. Artificial Intelligence and Blockchain for Future Cybersecurity Applications: Architectures and Challenges

    1. Front Matter

      Pages 1-1
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    2. Artificial Intelligence and Blockchain for Cybersecurity Applications

      • Fadi Muheidat, Lo’ai Tawalbeh
      Pages 3-29

    3. Securing Vehicular Network Using AI and Blockchain-Based Approaches

      • Farhat Tasnim Progga, Hossain Shahriar, Chi Zhang, Maria Valero
      Pages 31-44

    4. Privacy-Preserving Multivariant Regression Analysis over Blockchain-Based Encrypted IoMT Data

      • Rakib Ul Haque, A. S. M. Touhidul Hasan
      Pages 45-59

    5. Blockchain for Cybersecurity in IoT

      • Fatima Zahrae Chentouf, Said Bouchkaren
      Pages 61-83

    6. Blockchain and the Future of Securities Exchanges

      • Zachary A. Smith, Mazin A. M. Al Janabi, Muhammad Z. Mumtaz, Yuriy Zabolotnyuk
      Pages 85-104

  3. Artificial Intelligence and Blockchain for Cybersecurity: Applications and Case Studies

    1. Front Matter

      Pages 105-105
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    2. Classification of Cyber Security Threats on Mobile Devices and Applications

      • Mohammed Amin Almaiah, Ali Al-Zahrani, Omar Almomani, Ahmad K. Alhwaitat
      Pages 107-123

    3. Revisiting the Approaches, Datasets and Evaluation Parameters to Detect Android Malware: A Comparative Study from State-of-Art

      • Abu Bakkar Siddikk, Md. Fahim Muntasir, Rifat Jahan Lia, Sheikh Shah Mohammad Motiur Rahman, Takia Islam, Mamoun Alazab
      Pages 125-141

    4. IFIFDroid: Important Features Identification Framework in Android Malware Detection

      • Takia Islam, Sheikh Shah Mohammad Motiur Rahman, Md. Ismail Jabiullah
      Pages 143-160

    5. AntiPhishTuner: Multi-level Approaches Focusing on Optimization by Parameters Tuning in Phishing URLs Detection

      • Md. Fahim Muntasir, Sheikh Shah Mohammad Motiur Rahman, Nusrat Jahan, Abu Bakkar Siddikk, Takia Islam
      Pages 161-180

    6. Improved Secure Intrusion Detection System by User-Defined Socket and Random Forest Classifier

      • Garima Sardana, Abhishek Kajal
      Pages 181-196

    7. Spark Based Intrusion Detection System Using Practical Swarm Optimization Clustering

      • Mohamed Aymen Ben HajKacem, Mariem Moslah, Nadia Essoussi
      Pages 197-216

    8. A New Scheme for Detecting Malicious Attacks in Wireless Sensor Networks Based on Blockchain Technology

      • Mohammed Amin Almaiah
      Pages 217-234

  4. Artificial Intelligence and Blockchain Applications for Smart Cyber Ecosystems

    1. Front Matter

      Pages 235-235
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    2. A Framework Using Artificial Intelligence for Vision-Based Automated Firearm Detection and Reporting in Smart Cities

      • Muhammad Hunain, Talha Iqbal, Muhammad Assad Siyal, Muhammad Azmi Umer, Muhammad Taha Jilani
      Pages 237-255

    3. Automated Methods for Detection and Classification Pneumonia Based on X-Ray Images Using Deep Learning

      • Khalid El Asnaoui, Youness Chawki, Ali Idri
      Pages 257-284

    4. Using Blockchain in Autonomous Vehicles

      • Nidhee Kamble, Ritu Gala, Revathi Vijayaraghavan, Eshita Shukla, Dhiren Patel
      Pages 285-305

    5. Crime Analysis and Forecasting on Spatio Temporal News Feed Data—An Indian Context

      • Boppuru Rudra Prathap, Addapalli V. N. Krishna, K. Balachandran
      Pages 307-327
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Keywords

About this book

This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted book chapters covered many themes, including artificial intelligence and blockchain challenges, models and applications, cyber threats and intrusions analysis and detection, and many other applications for smart cyber ecosystems. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on artificial intelligence and blockchain for future cybersecurity applications.


Editors and Affiliations

  • Sultan Moulay Slimane University, Beni Mellal, Morocco

    Yassine Maleh

  • Chouaib Doukkali University, El Jadida, Morocco

    Youssef Baddi

  • Charles Darwin University, Canberra, Australia

    Mamoun Alazab

  • Texas A&M University, San Antonio, USA

    Loai Tawalbeh

  • Edinburgh Napier University, Edinburgh, UK

    Imed Romdhani

Bibliographic Information

  • Book Title: Artificial Intelligence and Blockchain for Future Cybersecurity Applications

  • Editors: Yassine Maleh, Youssef Baddi, Mamoun Alazab, Loai Tawalbeh, Imed Romdhani

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-030-74575-2

  • 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 2021

  • Hardcover ISBN: 978-3-030-74574-5Published: 01 May 2021

  • Softcover ISBN: 978-3-030-74577-6Published: 02 May 2022

  • eBook ISBN: 978-3-030-74575-2Published: 30 April 2021

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: XV, 376

  • Number of Illustrations: 19 b/w illustrations, 105 illustrations in colour

  • Topics: Data Engineering, Cyber-physical systems, IoT, Computational Intelligence, Big Data

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