Achieving Secure, Scalable, and Fine-grained Data Access Control in Cloud Computing

By Shucheng Yu, Kui Ren, Wenjing Lou. 2010 Proceedings IEEE INFOCOM, 2010

2,149 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/919209c7c3a8dd7547c05cc8cf22ad5b53aa11a7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Kui Ren
2. Wenjing Lou
3. Ming Li
4. Ning Cao
5. Shucheng Yu
6. Hui Li
7. Bing Wang
8. Wenxiu Ding

In Information Systems

1. Kui Ren
2. Wenjing Lou
3. Ning Cao
4. Ming Li
5. Hui Li
6. Shucheng Yu
7. Bing Wang
8. Boyang Wang

Citations in the corpus

• Privacy-preserving multi-keyword fuzzy search over encrypted data in the cloud (2014, background): “The encryption of the individual files and the distribution of the decryption keys to authorized users are separated issues which have been discussed in other publications [18], [19].”
• Mona: Secure Multi-Owner Data Sharing for Dynamic Groups in the Cloud (2013, methodology): “Yu et al. [3] presented a scalable and fine-grained data access control scheme in cloud computing based on the key policy attribute-based encryption (KP-ABE) technique [9].”
• Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues (2018, methodology): “Several cryptographybased solutions, such as attribute-based encryption [60] and role-based encryption [61] methods, can be used to achieve flexible and fine-grained access control.”
• Securely Outsourcing Attribute-Based Encryption with Checkability (2014, background): “Concerning revocation of ABE, a delegatable revocation is proposed in [12] to achieve scalable and fine-grained access control.”
• Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data (2014, methodology): “The cloud server is considered as “honest-but-curious” in our model, which is consistent with related works on cloud security [28], [29].”
• A Survey of Fog Computing: Concepts, Applications and Issues (2015, methodology): “Access control Access control has been a reliable tool on smart devices [43], and cloud [56], ensuring the security of the system.”
• Privacy-Preserving Data Processing with Flexible Access Control (2020, methodology): “[38] was widely applied in cloud storage management for achieving fine-grained access control [39], [40], [41].”
• Security and Privacy Issues of Fog Computing: A Survey (2015, background): “[45] have proposed a fine-grained data access control scheme constructed on attribute-based encryption (ABE).”
• Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Based Encryption (2019, neutral): “It is easy to generalize the above conclusions to conjunctive forms with each term being a threshold logic formula, which will not be elaborated here.”
• Hierarchical attribute-based encryption for fine-grained access control in cloud storage services (2010, methodology): “Inspired by Yu et al [3], we make slight alterations into our HABE scheme, and apply proxy re-encryption and lazy re-encryption into our scheme.”
• Key-Aggregate Cryptosystem for Scalable Data Sharing in Cloud Storage (2014, background): “(1) Setup : This algorithm is run by blur wine waiter to setup all system parameters.”
• Verifiable Privacy-Preserving Multi-Keyword Text Search in the Cloud Supporting Similarity-Based Ranking (2013, methodology): “Although encryption before data outsourcing [6], [7] can preserve data privacy against the CSP, it also makes the effective”
• Entrusting Private Computation and Data to Untrusted Networks (2013, background): “Index Terms—Privacy, trusted computing, untrusted networks, distributed computation, PlanetLab, sTile, tile assembly model Ç”
• Performance evaluation of Attribute-Based Encryption: Toward data privacy in the IoT (2014, background): “Given its unique benefits, ABE has recently gained much attention and has been adopted by many cloud computing applications and large-scale dynamic systems [6]–[9].”
• Survey on fog computing: architecture, key technologies, applications and open issues (2017, methodology): “Access control of data owner can be expanded into the cloud; some works have achieved this by exploiting techniques of several encryption schemes together to build an efficient data access control in the context of Cloud Computing (Yu et al., 2010).”
• Privacy-preserving multi-keyword ranked search over encrypted cloud data (2011, methodology): “Finally, the access control mechanism [23] is employed to manage decryption capabilities given to users.”