The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
Security and privacy protection in cloud computing: Discussions and challenges
Abstract
Abstract With the development of cloud computing, privacy security issues have become increasingly prominent, which is of concern to industry and academia. We review the research progress on privacy security issues from the perspective of several privacy security protection technologies in cloud computing. First, we introduce some privacy security risks of cloud computing and propose a comprehensive privacy security protection framework. Second, we show and discuss the research progress of several technologies, such as access control; ciphertext policy attribute-based encryption (CP-ABE); key policy attribute-based encryption (KP-ABE); the fine-grain, multi-authority, revocation mechanism; the trace mechanism; proxy re-encryption (PRE); hierarchical encryption; searchable encryption (SE); and multi-tenant, trust, and a combination of multiple technologies, and then compare and analyze the characteristics and application scope of typical schemes. Last, we discuss current challenges and highlight possible future research directions.
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Cites
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Fuzzy Identity-Based Encryption
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Proposed NIST standard for role-based access control
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A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data
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Yang, S., Zhang, Z., Cao, R., Wang, M., Cheng, H., Zhang, L., Jiang, Y., Li, Y., Chen, B., Ling, H., et al. (2021) · Energy and AI · doi:10.1016/j.egyai.2021.100088 · Cited by 178
A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
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Self-citation
Metadata
- Authors
- Sun, P.
- Venue
- Journal of Network and Computer Applications
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 160
- Pages
- 102642
- ISSN
- 1084-8045 (ISSN-L)
- OpenAlex
- W3014099641
- Cited by
- 287
- References
- 100
- FWCI
- 39.05
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
