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Building a Language Data Set in Telugu Using Machine Learning Techniques to Address Suicidal Ideation and Behaviors in Adolescents Read chapter Read first chapter

2021 | OriginalPaper | Chapter

MOLE: Multiparty Open Ledger Experiment, Concept and Simulation Using BlockChain Technology

Authors : Rahul Johari, Kanika Gupta, Suyash Jai

Published in: Applications of Artificial Intelligence and Machine Learning

Publisher: Springer Singapore

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Abstract

Key sectors like medicine, finance, education, IoT use BlockChain based applications to derive many benefits, this technology has to offer. The foundation of Bitcoin that is blockchain technology has received extensive attraction in research recently. The BlockChain Technology provides benefits in collaboration, trustability, identification, credibility and transparency. This technology acts as an untampered ledger which gives end user permission for various operations to be managed in decentralized manner. Various areas are centered around this, covering domains-like financial services, hospitality sector, healthcare management, E-Governance and so on. However, there are several technical hindrances of this emerging technology such as security and scalability issues, that need to be taken care of. This paper presents an insight into concept of blockchain, highlights the initiatives undertaken by Government of India and a real time simulation showcasing MOLE: Multiparty open ledger experiment, based on BlockChain Technology using MHRD’S Virtual lab.

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Metadata
Title
MOLE: Multiparty Open Ledger Experiment, Concept and Simulation Using BlockChain Technology
Authors
Rahul Johari
Kanika Gupta
Suyash Jai
Copyright Year
2021
Publisher
Springer Singapore
Book
Applications of Artificial Intelligence and Machine Learning

Print ISBN: 978-981-16-3066-8

Electronic ISBN: 978-981-16-3067-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-16-3067-5_42

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