Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 15, 2025SymmetryOpen Access

A Survey of Data Security Sharing

View Full Paper
Ask AI
Bookmark
Share

Authors

DZDexin ZhuChangchun UniversityZZZhiqiang ZhouChangchun University of Science and TechnologyYLYuanbo LiChangchun University of Science and Technology

Discussion

Loading...

Member takes

Implication

This systematic review highlights data security sharing methods and game theory applications, emphasizing sustainable collaborations.

Key Points

  • Achieving secure data sharing is crucial for protecting privacy in digital environments, as risks of data leakage persist.
  • The review summarizes key technologies in secure data sharing, including proxy re-encryption and attribute-based encryption.
  • Game-theoretic modeling is employed to optimize interactions between data owners and users, focusing on benefit allocation.
  • Current challenges in secure data sharing are discussed, highlighting the need for future research and improved frameworks.

Cite This Study

Zhu et al. (2025) studied this question.

synapsesocial.com/papers/68a3656a0a429f797332bad4https://doi.org/10.3390/sym17081259
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Efficient Anonymous Authentication and Group Key Distribution Scheme Based on Quantum Random Numbers for VANETs2024 · 22 citations
  2. 2Anonymous Group-Oriented Time-Bound Key Agreement for Internet of Medical Things in Telemonitoring Using Chaotic Maps2021 · 12 citations
  3. 3Social-Aware Incentive Mechanism for Data Quality in Mobile Crowdsensing: A Three-Stage Stackelberg Game Approach2025 · 13 citations
  4. 4A Verifiable and Fair Attribute-Based Proxy Re-Encryption Scheme for Data Sharing in Clouds2021 · 174 citations