International Journal of Advances in Electronics and Computer Science ( IJAECS )
A highly rated peer reviewed monthly International Journal
Editor-in-Chief : Dr. P. Suresh
Contact Person : Technical Editor
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Current Issue : Volume-11,Issue-2  ( Feb, 2024 ) View More
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Publisher:IRAJ
ISSN (p): 2394-2835
Issues /Year :12
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Paper Detail


Paper Title
Augmenting Trust by Combining Machine Learning and BlockChain

Abstract
As a part of digital transformation cybersecurity, data science, machine learning, deep learning all are being mixed with blockchain. The reason behind this transformation is to enhance trust. Blockchain technology has enabled the users to have a trusted platform for their business transactions which stands on the pillar of high security, low cost, and ease of usage. All that data which is generated by the transactions by the people who are on that network can be fed to the machine learning algorithms to make all kinds of desired inferences. Hence, mixing blockchain with machine intelligence enables the machine to parse that data and learns from it, and come up with an informed Decisions by using that knowledge. Keywords - Block chain, Machine Learning, Cybersecurity, Trust, Transaction


Author - Harshita Belwal, Jyoti Pachori, Bharat Sharma, Yogesh Sharma, Ashish Sharma

Published : Volume-8,Issue-8  ( Aug, 2021 )


DOIONLINE Number - IJAECS-IRAJ-DOIONLINE-18117   View Here

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| Published on 2021-10-30
   
   
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