Research Strategies for Privacy Security and Protection in The Context of Big Data

Abstract

The use of big data has brought intelligence and convenience to people, but it has also raised concerns about security and privacy issues. The article lists five main processes of big data processing and analyses the potential risks involved, which may adversely affect the data. These include issues such as internal and external threats, missing and duplicated data during data acquisition. To address these challenges, the article describes three privacy protection strategies, namely encryption techniques, privacy-preserving algorithms, and access control. These methods help to effectively ensure user privacy and provide security for big data, which meets the need for space saving and protects user privacy. With the continuous development of big data technology and the expansion of the application market, the issue of privacy security is becoming more and more prominent, and there is a need to establish sound privacy protection techniques and raise the awareness of privacy protection in the whole society.