Integrating blockchain with big data analytics for enhanced IoT security and efficiency
Sumaiya Shaikh, Saba Sheiba, Mulagundla Sridevi · 2024
In the rapidly expanding global business landscape, the allure of substantial financial gains has attracted a surge of diverse fraudulent activities, posing significant risks to organizations across sectors. While traditional fraud detection methods have predominantly focused on financial domains, the escalating complexity of fraud demands innovative approaches. Big data analytics, blockchain technology, and the Internet of Things (IoT) emerge as pivotal tools in this endeavor, offering enhanced capabilities for detecting and preventing fraudulent activities. Blockchain’s secure and immutable ledger ensures transaction integrity and data security, reducing the risk of fraud while facilitating transparent and trustworthy transactions. By integrating blockchain with big data analytics and IoT, organizations can fortify their defenses against evolving fraudulent threats, fostering security and efficiency across industries.