Book Image

Advanced Blockchain Development

By : Imran Bashir, Narayan Prusty
Book Image

Advanced Blockchain Development

By: Imran Bashir, Narayan Prusty

Overview of this book

Blockchain technology is a distributed ledger with applications in industries such as finance, government, and media. This Learning Path is your guide to building blockchain networks using Ethereum, JavaScript, and Solidity. You will get started by understanding the technical foundations of blockchain technology, including distributed systems, cryptography and how this digital ledger keeps data secure. Further into the chapters, you’ll gain insights into developing applications using Ethereum and Hyperledger. As you build on your knowledge of Ether security, mining, smart contracts, and Solidity, you’ll learn how to create robust and secure applications that run exactly as programmed without being affected by fraud, censorship, or third-party interference. Toward the concluding chapters, you’ll explore how blockchain solutions can be implemented in applications such as IoT apps, in addition to its use in currencies. This Learning Path also highlights how you can increase blockchain scalability, and discusses the future scope of this fascinating and powerful technology. By the end of this Learning Path, you'll be equipped with the skills you need to tackle pain points encountered in the blockchain life cycle and confidently design and deploy decentralized applications.
Table of Contents (25 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
15
Blockchain - Outside of Currencies
16
Scalability and Other Challenges
Index

Convergence with other industries


Convergence of blockchain with IoT has been discussed at length in Chapter 16, Scalability and Other Challenges. Briefly, it can be said that due to the authenticity, integrity, privacy, and shared nature of blockchains, IoT networks will benefit greatly from blockchain technology. This can be realized in the form of an IoT network that runs on a blockchain and makes use of a decentralized mesh network for communication to facilitate Machine-to-Machine (M2M) communication in real time. All this data which is generated as a result of M2M communication can be used in the machine learning process to augment the functionality of Artificially Intelligent DAOs or simple AAs. AAs can act as agents in a Distributed Artificial Intelligence (DAI) environment provided by a blockchain and can learn over time using machine learning processes.

AI is a field of computer science that endeavors to build intelligent agents that can make rational decisions based on the scenarios...