Author(s)

Shenpeiyilin ¹

Affiliation(s)

¹ Amazon Web Servicees Inc, Arlington County, Virginia, USA

Corresponding Author

Shenpeiyilin

ABSTRACT

Against the backdrop of rapid cloud computing development, big data has become an important resource across research, education, government and enterprise sectors, characterized by large scale, diverse types and high sensitivity. However, the openness and sharing features of cloud environments also bring severe challenges to data security and privacy protection. This paper first analyzes cloud computing architectures and the characteristics of big data, and describes the main security risks that arise throughout the data lifecycle (collection, transmission, storage and use), while summarizing common threat types and privacy leakage pathways. On this basis, it discusses key technical measures such as encryption, access control, differential privacy and federated learning, and proposes a protection strategy that integrates a multi-layered security defense with a compliance-oriented governance framework. Case studies are used to validate the feasibility and practical effectiveness of the proposed strategy in preventing data breaches and improving privacy protection. The results show that building a systematic, scalable security and privacy protection system not only effectively ensures the security and trustworthiness of big data in cloud environments, but also provides strong support for future intelligent and compliant data applications.

KEYWORDS

Cloud Computing, Big Data, Data Security, Privacy Protection, Strategy

CITE THIS PAPER

Shenpeiyilin, Cloud Computing Environment: Research on Big Data Security and Privacy Protection Strategies. Journal of Artificial Intelligence Practice (2025) Vol. 8: 17-24. DOI: http://dx.doi.org/10.23977/jaip.2025.080403.

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