Innovation and Challenge of Joint Modeling and Privacy Computing Technology:Research on the Development Path of Data Security and Trusted Circulation
With the rapid advancement of information technology,the significance of data is becoming increasingly vital.However,issues related to data privacy have emerged as a critical factor that restricts the comprehensive utilization of data.Joint modeling and privacy computing serve as essential technical approaches to reconcile the tension between data privacy and its utilization,garnering heightened attention in recent discourse.This paper offers an in-depth exploration of the concepts,technical methodologies,application scenarios,and challenges associated with joint modeling and privacy computing.It further discusses future development trends.Simultaneously,this study emphasizes how joint modeling and privacy computing can be effectively applied to big data analysis while ensuring the security of these processes.The objective is to provide both theoretical support and practical guidance for achieving a harmonious integration of data security with efficient utilization.
privacy computingjoint modelingdata securitymultiparty calculationhomomorphic encryptionbig data analysis
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