SECURING DATA WITH BLOCKCHAIN AND AI

Authors

  • Manjula. S.D Author
  • Maltesh Kamatar Author
  • Indira Author

Keywords:

Block chain, high security, high efficiency

Abstract

While data is essential for artificial 
intelligence (AI) algorithms to extract 
useful characteristics from, it is difficult 
to authorise or approve data use in 
complicated cyberspace due to the 
dispersed nature of the Internet and the 
fact that its diverse stakeholders do not 
trust 
one another. Consequently, 
enabling data exchange in cyberspace 
for genuine large data and a real strong 
AI is quite difficult. In this work, we 
present SecNet, an architecture that can 
provide secure data storage, processing, 
and sharing in a large-scale Internet 
setting. Our goal is to create a safer 
cyberspace with true big data, which 
will 
lead 
to 
improved artificial 
intelligence with access to a wealth of 
data. To do this, we integrate three 
essential components: 1) a blockchain- 
based data sharing system that ensures 
ownership of shared data, allowing for 
trustworthy data sharing in large-scale 
environments to create real big data; 2) a 
secure computing platform powered by 
AI to create smarter security rules, 
contributing to the development of a 
more trustworthy cyberspace; 3) a 
trusted value-exchange mechanism for 
buying 
security 
services, 
where 
participants can earn money for sharing 
their data or services, encouraging data 
sharing and improving AI performance. 
Furthermore, we examine SecNet's 
efficacy from the perspective of 
economic income and network security, 
and we talk about its usual use case and 
its perhaps other deployment method. 

 

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Published

10-09-2023

How to Cite

SECURING DATA WITH BLOCKCHAIN AND AI . (2023). International Journal of Engineering Research and Science & Technology, 19(3), 96-105. https://ijerst.org/index.php/ijerst/article/view/192