Data-Driven Excellence: Navigating the Future of Retail Cybersecurity with Machine Learning, Business Analytics, and Blockchain Applications

EasyChair Preprint 12187

Abstract

This paper presents a comprehensive exploration of the transformative role of data-driven technologies in enhancing cybersecurity within the retail sector. Leveraging machine learning, business analytics, and blockchain applications, our research aims to fortify retail environments against evolving cyber threats. Through a rigorous methodology, we evaluate the effectiveness of these technologies and propose innovative solutions to bolster the resilience of retail systems. Our findings underscore the potential of data-driven approaches in safeguarding sensitive consumer information and maintaining the integrity of retail operations.

Keyphrases: Blockchain, Business Analytics, Consumer Confidence, DataDriven Solutions, Resilience, Retail Cybersecurity, Threat Detection, machine learning, privacy protection, technology integration

@booklet{EasyChair:12187,
  author    = {Rohit Sharma and Mia Jima},
  title     = {Data-Driven Excellence: Navigating the Future of Retail Cybersecurity with Machine Learning, Business Analytics, and Blockchain Applications},
  howpublished = {EasyChair Preprint 12187},
  year      = {EasyChair, 2024}}