scholarly journals A secure IoT cloud storage system with fine-grained access control and decryption key exposure resistance

2019 ◽  
Vol 97 ◽  
pp. 284-294 ◽  
Author(s):  
Shengmin Xu ◽  
Guomin Yang ◽  
Yi Mu ◽  
Ximeng Liu
Keyword(s):  
Access Control ◽  
Cloud Storage ◽  
Storage System ◽  
Fine Grained ◽  
Key Exposure

scholarly journals Secure Outsourced Medical Data against Unexpected Leakage with Flexible Access Control in a Cloud Storage System

2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Xingguang Zhou ◽  
Jianwei Liu ◽  
Zongyang Zhang ◽  
Qianhong Wu
Keyword(s):  
Access Control ◽  
Medical Records ◽  
Cloud Storage ◽  
Storage System ◽  
Role Based Access Control ◽  
Security Model ◽  
Access Policy ◽  
Fine Grained ◽  
Privacy Leakage ◽  
Role Based

The application of cloud storage system has been deployed widely in recent years. A lot of electronic medical records (EMRs) are collected and uploaded to the cloud for scalable sharing among the authority users. It is necessary to guarantee the confidentiality of EMRs and the privacy of EMR owners. To achieve this target, we summarize a series of attack behaviors in the cloud storage system and present the security model against many types of unexpected privacy leakage. Privacy of unassailed EMRs is guaranteed in this model, and the influence of privacy leakage is controlled in a certain scope. We also propose a role-based access control scheme to achieve flexible access control on these private EMRs. One can access medical records only if his/her role satisfies the defined access policy, which implies a fine-grained access control. Theoretical and experimental analyses show the efficiency of our scheme in terms of computation and communication.

Fine-Grained Access Control with Efficient Revocation in Cloud Storage

2014 ◽  
Vol 571-572 ◽  
pp. 79-89
Author(s):  
Ting Zhong ◽  
You Peng Sun ◽  
Qiao Liu
Keyword(s):  
Access Control ◽  
Cloud Storage ◽  
Storage System ◽  
Fine Grained ◽  
Computational Overhead ◽  
Attribute Based Encryption ◽  
Encrypt Data ◽  
User Revocation ◽  
Ciphertext Policy ◽  
Access Policies

In the cloud storage system, the server is no longer trusted, which is different from the traditional storage system. Therefore, it is necessary for data owners to encrypt data before outsourcing it for sharing. Simultaneously, the enforcement of access policies and support of policies updates becomes one of the most challenging issues. Ciphertext-policy attribute-based encryption (CP-ABE) is an appropriate solution to this issue. However, it comes with a new obstacle which is the attribute and user revocation. In this paper, we propose a fine-grained access control scheme with efficient revocation based on CP-ABE approach. In the proposed scheme, we not only realize an efficient and immediate revocation, but also eliminate some burden of computational overhead. The analysis results indicate that the proposed scheme is efficient and secure for access control in cloud storage systems.

scholarly journals Speech Encryption Scheme Based on Ciphertext Policy Hierarchical Attribute in Cloud Storage

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Qiuyu Zhang ◽  
Zhenyu Zhao ◽  
Minrui Fu
Keyword(s):  
Access Control ◽  
Cloud Storage ◽  
Random Oracle Model ◽  
Access Structure ◽  
Encryption Scheme ◽  
Hierarchical Processing ◽  
Fine Grained ◽  
Speech Data ◽  
Speech Encryption ◽  
Ciphertext Policy

In order to ensure the confidentiality and secure sharing of speech data, and to solve the problems of slow deployment of attribute encryption systems and fine-grained access control in cloud storage, a speech encryption scheme based on ciphertext policy hierarchical attributes was proposed. First, perform hierarchical processing of the attributes of the speech data to reflect the hierarchical structure and integrate the hierarchical access structure into a single-access structure. Second, use the attribute fast encryption framework to construct the attribute encryption scheme of the speech data, and use the integrated access to the speech data; thus, the structure is encrypted and uploaded to the cloud for storage and sharing. Finally, use the hardness of decisional bilinear Diffie–Hellman (DBDH) assumption to prove that the proposed scheme is secure in the random oracle model. The theoretical security analysis and experimental results show that the proposed scheme can achieve efficient and fine-grained access control and is secure and extensible.

scholarly journals Secure Content De-Duplication Utilizing Efficient Content Discovery and Preserving De-Duplication (Ecdpd)

2019 ◽  
Vol 8 (12S) ◽  
pp. 986-990
Keyword(s):  
Access Control ◽  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Data Access ◽  
Data File ◽  
Data Deduplication ◽  
Efficient Technology ◽  
Data Access Control ◽  
Content Discovery

Cloud computing, an efficient technology that utilizes huge amount of data file storage with security. However, the content owner does not controlling data access for unauthorized clients and does not control data storage and usage of data. Some previous approaches data access control to help data de-duplication concurrently for cloud storage system. Encrypted data for cloud storage is not effectively handled by current industrial de-duplication solutions. The deduplication is unguarded from brute-force attacks and fails in supporting control of data access .An efficient data confining technique that eliminates redundant data’s multiple copies which is commonly used is Data-Deduplication. It reduces the space needed to store these data and thus bandwidth is saved. An efficient content discovery and preserving De-duplication (ECDPD) algorithm that detects client file range and block range of de-duplication in storing data files in the cloud storage system was proposed to overpower the above problems.Data access control is supported by ECDPD actively. Based on Experimental evaluations, proposed ECDPD method reduces 3.802 milliseconds of DUT (Data Uploading Time) and 3.318 milliseconds of DDT (Data Downloading Time) compared than existing approaches

scholarly journals vFAC: Fine-Grained Access Control with Versatility for Cloud Storage

2018 ◽  
Author(s):  
Jingwei Liu ◽  
Huifang Tang ◽  
Chaoya Li ◽  
Rong Sun ◽  
Xiaojiang Du ◽  
...  
Keyword(s):  
Access Control ◽  
Cloud Storage ◽  
Fine Grained
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