Privacy-Enhancing Encryption in Data Sharing: A Survey on Security, Performance and Functionality

Computer Science > Cryptography and Security [Submitted on 27 Mar 2026] Privacy-Enhancing Encryption in Data Sharing: A Survey on Security, Performance and Functionality Yongyang Lv, Xiaohong Li, Ruitao Feng, Xinyu Li, Guangdong Bai, Leo Zhang, Lili Quan, Willy Susilo The vigorous development of the Internet has spurred exponential data growth, yet data is predominantly stored in isolated user entities, hampering its full value realization. In large-scale deployment of ``AI+industries'' such as smart medical care, intelligent transportation and smart homes, the gap between data supply and demand continues to widen, and establishing an effective data sharing mechanism is the core of promoting high-quality industrial development. However, data sharing faces significant challenges in security, performance, and functional adaptability. Privacy-enhancing encryption technologies, including Attribute-Based Encryption (ABE), Proxy Re-encryption (PRE), and Searchable Encryption (SE), offer promising solutions with distinct advantages in enhancing security, improving flexibility, and enabling efficient sharing. Statistical analysis of relevant literature from 2020 to 2025 reveals a rising research trend in ABE, PRE and SE, focusing on their data sharing applications. Firstly, this work proposes a data sharing process framework and identifies 20 potential attacks across its stages. Secondly, this work integrates ABE, SE, PRE with 12 enhancement technologies and examines their multi-dimensional impacts on the security, performance, and functional adaptability of data sharing schemes. Lastly, this work outlines key application scenarios, challenges, and future research directions, providing valuable insights for advancing data sharing mechanisms based on privacy-enhancing encryption technologies. Comments: 36 pages,4 figures,5 tables,survey paper Subjects: Cryptography and Security (cs.CR) ACM classes: C.2.0; D.4.6; K.6.5 Cite as: arXiv:2603.26224 [cs.CR]   (or arXiv:2603.26224v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2603.26224 Focus to learn more Submission history From: Yongyang Lv [view email] [v1] Fri, 27 Mar 2026 09:49:19 UTC (6,297 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-03 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)