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ISSN 2063-5346
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THE ENHANCED OPTIMIZATION OF INFORMATION MINING SYSTEMS FOR BIG DATA PROTECTION USING BLOCKCHAIN

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M. Raja, P. Devisivasankari, M. Vilasini, D. Loganathan
» doi: 10.31838/ecb/2023.12.s3.203

Abstract

In recent years, many businesses and organizations have been turning to Big Data for analyzing and managing their data in a more effective and efficient manner. However, the security of this data is a major challenge. In order to protect it, there is a need for a reliable and secure technology such as Blockchain to be used. Blockchain is a type of distributed ledger technology that is especially suitable for Big Data since it is designed to prevent tampering with data, thus enhancing its integrity, as well as providing full transparency. Blockchain technology can be used to process transactions and store data into blocks, which are part of a chain that makes up the entire system. Each block is linked to the next one, and this chain is secured through encryption. With its distributed nature and ability to provide transparency and trust between stakeholders, Blockchain has the potential to add significant security to any type of data, including Big Data. Today, different organizations are looking at ways to integrate Blockchain into their data mining systems. This integration can help to secure the data from tampering as well as from unauthorized access. By introducing permission systems in data mining with Blockchain, organizations can gain better control over their data, while enjoying enhanced security. In addition, it can also be used to reduce costs and improve the efficiency of the underlying system. The Blockchain technology is emerging as an important part of the Big Data ecosystem in terms of providing secure and trusted data management solutions. This can help organizations to gain greater control over their Big Data and, in turn, offer more secure data mining solutions.

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