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		<www.jsetms.com>
		<Title>ENSURING DATA SECURITY THROUGH BLOCKCHAIN AND ARTIFICIAL INTELLIGENCE</Title>
		<Author>K Deepthi</Author>
		<Volume>02</Volume>
		<Issue>05</Issue>
		<Abstract>Artificial intelligence AI algorithms use data as input to mine valuable features but data on the Internet is dispersed and controlled by multiple stakeholders who dont trust one another and its hard to approve or validate its use in complex cyberspace Because of this enabling data exchange in cyberspace for true big data and a truly powerful AI is quite challenging In order to achieve a more secure cyberspace with actual big data and therefore improved AI with lots of data sources we propose in this work the SecNet architecture which may enable safe data storage computation and sharing in the largescale Internet environment by combining three essential components 1 Blockchainbased data sharing with ownership guarantee which makes it possible to share trusted data in a largescale setting to create real big data 2 AIbased secure computing platform which generates more intelligent security rules and contributes to the creation of a more trustworthy cyberspace 3 trusted valueexchange mechanism for buying security services which gives participants a means of earning money when they share their data or services which encourages data sharing and improves AI performance Additionally we examine SecNets usual use case its possible alternate deployment method and its efficacy from the perspectives of network security and financial gain</Abstract>
		<permissions>
<copyright-statement>Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
		</www.jsetms.com>
		