Exploring Blockchain and Data Science for Next-Generation Data Security

Hannah Jacob

Authors

Hannah Jacob Princeton University (New Jersey), USA Author

Keywords:

Data Science, Secure Data Sharing, Transparent Data Transactions, Data security

Abstract

The rapid increase in data generation within modern society has spurred innovation while raising critical concerns around data security and transaction transparency. This paper examines the integration of blockchain technology and data science as a transformative solution to these issues. Originally developed for cryptocurrencies, blockchain offers a decentralized, tamper-resistant ledger that, when paired with data science’s analytical capabilities, can unlock valuable insights from complex datasets. This fusion holds the potential to enhance security, ensure cryptographic integrity, and provide unprecedented transparency in data sharing. The research explores foundational concepts, synergistic potentials, real-world applications, and proposed solutions, contributing to the conversation on safeguarding data integrity and fostering transparency in our interconnected world.

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