Blockchain in IoT and Beyond: Case

Studies on Interoperability and Privacy

Abhik Banerjee

, Bhaskar Dutta

, Tamoghna Mandal

,

Rajdeep Chakraborty

, and Rituparna Mondal

Abstract Since the boom of 2009 sparked by Bitcoin, blockchain has hardly left

any field untouched. Blockchain has been countered by the lack of interoperability

between different protocols. Privacy and identity management in the distributed

ledger technologies have immense potential. These two areas of blockchain have

seen steady progress and innovation. In this chapter, we start by first discussing

recent works of blockchain and allied technologies in the field of IoT with a focus

on how such works can serve as a basis for the next generation of amalgamated

solutions. We give a short survey of blockchain in IoT and IIoT followed by proof

of concepts of distributed ledger technology used in literature. Then this chapter

gives a discussion on distributed identity management with zero knowledge proof

followed by self-sovereign identity. Then we move forward with the detailed case

study of Hyperledger Indy. Finally, we give case study, interoperability issue, and

contemporary survey of Polkadot.

Keywords Blockchain interoperability · Polkadot protocol · Decentralized

identifiers · Zero knowledge proof · Hyperledger indy · Quantum resilient

Blockchain

Authors have no conflict of interest for this publication.

A. Banerjee · R. Chakraborty (B)

Department of Computer Science and Engineering, Netaji Subhash Engineering College,

Kolkata, India

B. Dutta

Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

T. Mandal

Department of Computer Science and Engineering, National Institute of Technology (NIT)

Durgapur, Durgapur, West Bengal, India

R. Mondal

Department of Computer Applications, Narula Institute of Technology, Kolkata, India

© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

D. De and S. Bhattacharyya (eds.), Blockchain based Internet of Things,

Lecture Notes on Data Engineering and Communications Technologies 112,

https://doi.org/10.1007/978-981-16-9260-4_5

113