PSI, DP, SMC is the future of data privacy
With the digitalization of society, data privacy is receiving more and more attention from everyone. Privacy regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) are changing the way data is collected and used. As we all know, data companies understand their customers through data analysis. However, data analysis is limited by data privacy regulations. More and more regulations are promulgated. On the one hand, companies need to pay attention to data privacy protection, while paying attention to data security and analysis and utilization. Currently, PSI, DP, and SMC are considered as the future of data management. These technologies will help companies analyze and apply data while protecting data privacy.
“Europe privacy law GDPR”by SmedersInternet is licensed under CC BY 2.0
Private Set Intersection (PSI): This technology belongs to the specific application problem in the field of secure multiparty computing. It has not only important theoretical significance but also strong application value. You can protect the privacy of personal information to the greatest extent while enjoying the convenience of data analysis. This technology enables data users to identify ordinary individuals without any content leakage.
Differential Privacy (DP): This technology has a rigorous mathematical model, and the security level can be quantified and proven. It is one of the research hotspots of privacy protection in academia in recent years. Some companies have applied differential privacy technology to data collection scenarios.
Secure Multi-Party Computation (SMC): This technology can solve the problem of collaborative computing on how to protect the privacy of data between distrusting parties so that users of multiple parties can work together and avoid monitoring each other’s data calculation and extraction.
In the era of big data, data privacy protection is the foundation, and data mining analysis is more valuable. According to the actual application scenario, how to ensure the confidentiality of data is one of the key issues of data security in the era of big data. The continuous promulgation of relevant regulations and the continuous upgrading of data privacy protection technology will greatly improve the application ability of big data analysis, and at the same time provide strong protection for consumers’ personal data privacy protection.
Via: dzone
