Sam Goundar & G Suseendran 
CONVERGENCE OF AI & BLOCKCHAIN TECHNOLOGIES, THE [EPUB ebook] 
Challenges and Opportunities

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.

Contents:

• 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 Io T (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 IIo T (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 Io T (S Lavanya, D Akila, Hannah Vijaykumar, P Calista Bebe, and C Sudha)


• Industrial Io T 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 (Io T) 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 Io T Applications (Pooja Tripathi and Aman Pradhan)


• Digital Anonymity in Decentralized Environment (Ashish Seth and Kirti Seth)


• Block Edge Computing: Blockchain-Edge Platform for Industrial Io T 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