Methods of Personal Data Protection in Retail: Practical Solutions

Abstract

This paper explores key methods for protecting personal data in the retail sector. It describes modern encryption algorithms, such as AES and RSA, their mathematical models, and applications for ensuring data confidentiality and integrity. Special attention is given to multifactor authentication, network segmentation, cloud service and IoT device protection, and the use of innovative approaches including real-time monitoring and access control, which help minimize the risk of data breaches. The research emphasizes the importance of an integrated approach to cybersecurity in retail to enhance customer trust and ensure compliance with legal requirements.