Abstract
The extensive application of big data technology makes data burst with unprecedented value and vitality. However, due to the large amount of data, many data sources, and complex data access relationships, the current development of privacy protection technology is seriously lagging behind the development of big data technology, which restricts the application and promotion of big data. At present, it is urgent to sort out the development status of big data privacy protection technology, so as to provide a reference for the research and breakthrough of key issues of big data privacy protection. This paper analyzes k-anonymity and differential privacy protection, and points out that a protection method that can reduce the cost of high-dimensional data processing and ignore the background knowledge requirements of attackers is urgently needed for privacy protection in big data scenarios. At the same time, this paper also puts forward suggestions for the application and future development of these technologies.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
