DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-8,Issue-8 ( Aug, 2021 ) | |||||||||
Paper Title |
Augmenting Trust by Combining Machine Learning and BlockChain | |||||||||
Author Name |
Harshita Belwal, Jyoti Pachori, Bharat Sharma, Yogesh Sharma, Ashish Sharma | |||||||||
Affilition |
CSE Department, Maharaja Agrasen Institute of Technology, Delhi, India Assistant Professor, CSE Department, Maharaja Agrasen Institute of Technology, Delhi, India | |||||||||
Pages |
8-13 | |||||||||
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 | |||||||||
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