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

2010 ◽  
Author(s):  
Shucheng Yu ◽  
Cong Wang ◽  
Kui Ren ◽  
Wenjing Lou
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Data Access ◽  
Fine Grained ◽  
Data Access Control

scholarly journals A Review of fine grained access control techniques

2018 ◽  
Vol 7 (2.7) ◽  
pp. 20 ◽  
Author(s):  
Rakesh Shirsath ◽  
Dr K. V. Daya Sagar
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Data Access ◽  
Control Approach ◽  
Access Policy ◽  
Fine Grained ◽  
Data Access Control ◽  
Encrypt Data ◽  
Cloud Server ◽  
Access Policies

Nowadays cloud computing is most demanding technology where computing resources are availed as per demand through Internet. Cloud computing model also brings many challenges for confidentiality, integrity, privacy of data and data access control. As cloud computing develops vigorously, an increasing number of enterprises and individuals are motivated to upload their data sources to the public cloud server for sharing. It is not entirely credible for enterprises and individuals to transfer data owing to the openness of the cloud server, so they must encrypt data before uploading and also loose direct control of data. Therefore, an elastic access control or fine-grained access control approach for data is urgently required and becomes a challenging open problem. In this paper, the issue of access control is discussed by defining traditional access policies. Attribute based access policy is analysed with its types. Finally, comparison is made among all policies with respect to various parameters.

scholarly journals An efficient attribute-based hierarchical data access control scheme in cloud computing

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Heng He ◽  
Liang-han Zheng ◽  
Peng Li ◽  
Li Deng ◽  
Li Huang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
High Performance ◽  
Data Access ◽  
Fine Grained ◽  
Security Issues ◽  
Access Structures ◽  
Data Access Control ◽  
Control Scheme ◽  
Access Requirement

AbstractSecurity issues in cloud computing have become a hot topic in academia and industry, and CP-ABE is an effective solution for managing and protecting data. When data is shared in cloud computing, they usually have multiple access structures that have hierarchical relationships. However, existing CP-ABE algorithms do not consider such relationships and just require data owners to generate multiple ciphertexts to meet the hierarchical access requirement, which would incur substantial computation overheads. To achieve fine-grained access control of multiple hierarchical files effectively, first we propose an efficient hierarchical CP-ABE algorithm whose access structure is linear secret sharing scheme. Moreover, we construct an attribute-based hierarchical access control scheme, namely AHAC. In our scheme, when a data visitor’s attributes match a part of the access control structure, he can decrypt the data that associate with this part. The experiments show that AHAC has good security and high performance. Furthermore, when the quantity of encrypted data files increases, the superiority of AHAC will be more significant.

A fine-grained and lightweight data access control scheme for WSN-integrated cloud computing

2017 ◽  
Vol 20 (2) ◽  
pp. 1457-1472 ◽  
Author(s):  
Heng He ◽  
Ji Zhang ◽  
Jinguang Gu ◽  
Yan Hu ◽  
Fangfang Xu
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Data Access ◽  
Fine Grained ◽  
Data Access Control ◽  
Control Scheme

scholarly journals A Secure and Fine-Grained Big Data Access Control Scheme for Cloud-Based Services

2020 ◽  
pp. 254-262
Author(s):  
Nisha J William ◽  
Nisha O S
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Access Control ◽  
Data Access ◽  
End Users ◽  
Access Policy ◽  
Fine Grained ◽  
Data Access Control ◽  
Control Scheme ◽  
Access Policies

Cloud computing is the delivery of computing services including servers, storage, databases, networking, software, analytics, and intelligence over the Internet. Nowadays, access control is one of the most critical problems with cloud computing. Ciphertext-Policy Attribute Based Encryption (CP-ABE) is a promising encryption technique that enables end-users to encrypt their data under the access policies defined over some attributes of data consumers and only allows data consumers whose attributes satisfy the access policies to decrypt the data. In CP-ABE, the access policy is attached to the ciphertext in plaintext form, which may also leak some private information about end-users. Existing methods only partially hide the attribute values in the access policies, while the attribute names are still unprotected. This paper proposes an efficient and fine-grained big data access control scheme with privacy-preserving policy. Specifically, it hides the whole attribute (rather than only its values) in the access policies. To assist data decryption, it designs an algorithm called Attribute Bloom Filter to evaluate whether an attribute is in the access policy and locate the exact position in the access policy if it is in the access policy. The paper also deals with offline attribute guessing attack. Security analysis and performance evaluation show that this scheme can preserve the privacy from any LSSS access policy without employing much overhead.

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