SECURITY AND PRIVACY ISSUES IN BIG DATA

Аннотация

Big Data refers to the vast volume of structured and unstructured data generated daily from various sources such as social media, business transactions, sensors, and online activities. As organizations leverage Big Data for analysis and decision-making, the challenges of ensuring data security and privacy have become critical concerns. The rapid growth of Big Data technologies has prompted the need for robust security frameworks to protect sensitive data from unauthorized access, misuse, and breaches. Privacy issues also arise due to the collection, storage, and sharing of personal information, often without clear consent or adequate control. This paper explores the main security and privacy challenges faced by Big Data systems, the technologies used to address these issues, and the emerging trends in securing Big Data. The paper also discusses the importance of compliance with data protection regulations, such as GDPR and CCPA, and the role of encryption, anonymization, and access control mechanisms in safeguarding data. Finally, the paper highlights the importance of integrating security and privacy measures into the entire lifecycle of Big Data management, from collection to storage and analysis.