The Convergence of Artificial Intelligence and Blockchain Technologies

The Convergence of Artificial Intelligence and Blockchain Technologies

Challenges and Opportunities


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This book covers the growing convergence between Blockchain and Artificial Intelligence for Big Data, Multi-Agent systems, the Internet of Things and 5G technologies. Using real case studies and project outcomes, it illustrates the intricate details of blockchain in these real-life scenarios. The contributions from this volume bring a state-of-the-art assessment of these rapidly evolving trends in a creative way and provide a key resource for all those involved in the study and practice of AI and Blockchain.


  • An Overview of Blockchain Technology: Fundamental Theories and Concepts (R Ananadan and B S Deepak)
  • Blockchain and Artificial Intelligent for Internet of Things in e-Health (Geetha Velliyangiri, Vijaya Krishnamoorthy, Chandra Inbaraj, Anbumani Venkatachalam, Robbi Rahim, and Manikandan Ramachandran)
  • Data Management and Industries Automatization Using Blockchain, AI, and IoT (Krishna Kumar Vaithinathan and Latha Parthiban)
  • Using Frost Filterative Fuzzified Gravitational Search-Based Shift Invariant Deep Feature Learning with Blockchain for Distributed Pattern Recognition (S Ilavazhagi Bala, Golda Dilip, and Latha Parthiban)
  • The Impact of Blockchain on Cloud and AI (S Karthik, K Priyadarsini, and Trishant Baid)
  • Blockchain-Based Secure Authentication for an Intelligent e-Learning Framework with Optimized Learning Objects (Maithili Devi Reddy, Latha Parthiban, and Kavitha Chandrakanth)
  • Indian Corporate Governance with Relation to Sarbanes Oxley (SOX) Act: Proposing Business Intelligence (BI) and Blockchain as an Integrated Key Strategy (Kuldeep Singh, Madhvendra Misra, and Jitendra Yadav)
  • Efficient Secure Image Encryption Using RFID with Blockchain Technology in IIoT (V R Elangovan, R Nirmala, R Jayakarthik, P Tamilarasi, and R Kiruthiga)
  • The Data Consensus Algorithm for Smart City Applications Using Blockchain Technology in Industrial IoT (S Lavanya, D Akila, Hannah Vijaykumar, P Calista Bebe, and C Sudha)
  • Industrial IoT with Light-Weighted Supporting Hierarchical Storage in Distributed Co-operative Network for Blockchain Technology (K Rohini, R Kala, C Kavitha, R Hema, and P Praveen Kumar)
  • Blockchain-Based Internet of Things (IoT) Security for Data Sharing in Smart City Environment (Padmavathy Thirunavukarasu Velayudham, Vimal Kumar Maanuguru Nagaraju, Shakunthala Masi, Shobana Nageswari Chandrasekaran, Rajkumar Kulandaivel, and Manikandan Ramachandran)
  • Security Issues in Blockchain from Networking and Programming Perspective (Pranav Vyas and Sam Goundar)
  • Enhancing Security and Privacy in Pharmacovigilance with Blockchain (Maithili Devi Reddy and Latha Parthiban)
  • Identity Management Using Blockchain in IoT Applications (Pooja Tripathi and Aman Pradhan)
  • Digital Anonymity in Decentralized Environment (Ashish Seth and Kirti Seth)
  • Block Edge Computing: Blockchain-Edge Platform for Industrial IoT Networking (T Nathiya, B Mahalakshmi, K Kavitha, Jabeen T Nusrat, and K Maheswari)
  • Strengthening Omnichannel Retail Supply Chain with Blockchain Technology (Rahul Gupta)
  • Unmasking Counterfeit Readymade Garments in India Using Blockchain Technology (Jitendra Yadav, Madhvendra Misra, Kuldeep Singh, and Sam Goundar)

Readership: Academics, researchers, students and practitioners involved in artificial intelligence, cyber-physical systems, ethics, robotics, safety engineering, safety-critical systems, standardization and certification digital forensics.

Key Features:

  • This book has a diverse range of authors writing on different aspects of how Blockchain and Artificial Intelligence is converging and the impacts of these developments. It aims to be a comprehensive reference guide to the topic
  • The contributors are mostly academics and practitioners who write about their research and experiences