Preface

ix

inherent integration of consensus algorithms and distributed storage with advanced

security protocols provide powerful solutions for CPS applications. Blockchains in

CPSs/IoT ensure secure and saved information for different industrial applications

and achieve a means of adaptability, process, and operation protection, for example,

in manufacturing, transportation, healthcare, and energy applications. Chapter

“Blockchain for IoT-Based Cyber-Physical Systems (CPS): Applications and Chal-

lenges” provides an extensive technical background for blockchain in IoT-based

CPS. Applications, opportunities, and challenges as far as the combination of CPS,

IoT, and blockchain are concerned.

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 chapter “Blockchain in IoT and Beyond:

Case Studies on Interoperability and Privacy”, the authors 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. The authors also put forward a short survey of blockchain in IoT and IIoT

followed by proof of concepts of distributed ledger technology used in literature.

Then the chapter provides a discussion on distributed identity management with

zero knowledge proof followed by self-sovereign identity. Subsequently, a detailed

case study of Hyperledger Indy is presented. Finally, the authors also illustrate a

case study involving the interoperability issue and contemporary survey of Polkadot.

Due to high growth of Internet of Things and cloud computing services, it has

brought great changes within the human lifestyle in the various fields such as

medical, agricultural, educational, military, environmental, etc. So, it is necessary

to understand the building blocks basic of the Internet of Things and identifying

weaknesses and data security of user. Blockchain plays an important role in

the implementation of security aspects in cloud computing. In chapter “Hybrid

Blockchain-Enabled Security in Cloud Storage Infrastructure Using ECC and AES

Algorithms”, the authors have analyzed the security aspects of data stored in the

cloud through hybrid security system enabled with blockchain technology using

cryptographic algorithms like ECC and AES. The proposed framework is found to

exhibit higher security with more efficiency than others.

The introduction of Blockchain Technology (BT) has evolved into a distinc-

tive, disturbing, and trendy technology in recent years. Data security and privacy

are prioritized in BT’s decentralized database. New security concerns raised by BT

include common attacks and double-spending. To address the above-mentioned chal-

lenges, data analytics on a blockchain-based IoT network is necessary to protect data.

The value of emerging technology Machine Learning (ML) is highlighted through

analytics on this data. When ML and BT are combined, very precise results may

be obtained. Chapter “An Efficient Blockchain-Based IoT System Using Improved

KNN Machine Learning Classifier” is therefore aimed to give a comprehensive study

on the use of machine learning to make blockchain-based IoT network smart applica-

tions that are more robust to handle network attacks. To investigate these attacks on a