A Data Security Scheme for Cloud Storage Based on Data Segmentation and Trusted Third Party Supervision

2022 ◽  
pp. 187-195
Author(s):  
Ping Xia
Keyword(s):  
Data Security ◽  
Cloud Storage ◽  
Third Party ◽  
Trusted Third Party ◽  
Security Scheme ◽  
Data Segmentation

A New User-controlled and Efficient Encrypted Data Sharing Model in Cloud Storage

2019 ◽  
Vol 13 (4) ◽  
pp. 356-363
Author(s):  
Yuezhong Wu ◽  
Wei Chen ◽  
Shuhong Chen ◽  
Guojun Wang ◽  
Changyun Li
Keyword(s):  
Data Sharing ◽  
Data Security ◽  
Cloud Storage ◽  
Screening Program ◽  
Original Data ◽  
Third Party ◽  
Active System ◽  
Encrypted Data ◽  
Active User ◽  
User Data

Background: Cloud storage is generally used to provide on-demand services with sufficient scalability in an efficient network environment, and various encryption algorithms are typically applied to protect the data in the cloud. However, it is non-trivial to obtain the original data after encryption and efficient methods are needed to access the original data. Methods: In this paper, we propose a new user-controlled and efficient encrypted data sharing model in cloud storage. It preprocesses user data to ensure the confidentiality and integrity based on triple encryption scheme of CP-ABE ciphertext access control mechanism and integrity verification. Moreover, it adopts secondary screening program to achieve efficient ciphertext retrieval by using distributed Lucene technology and fine-grained decision tree. In this way, when a trustworthy third party is introduced, the security and reliability of data sharing can be guaranteed. To provide data security and efficient retrieval, we also combine active user with active system. Results: Experimental results show that the proposed model can ensure data security in cloud storage services platform as well as enhance the operational performance of data sharing. Conclusion: The proposed security sharing mechanism works well in an actual cloud storage environment.

DaSCE: Data Security for Cloud Environment with Semi-Trusted Third Party

2017 ◽  
Vol 5 (4) ◽  
pp. 642-655 ◽  
Author(s):  
Mazhar Ali ◽  
Saif U. R. Malik ◽  
Samee U. Khan
Keyword(s):  
Data Security ◽  
Third Party ◽  
Cloud Environment ◽  
Trusted Third Party

scholarly journals Data Security Protocol with Blind Factor in Cloud Environment

Information ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 340
Author(s):  
Ping Zhang ◽  
Huanhuan Chi ◽  
Jiechang Wang ◽  
Youlin Shang
Keyword(s):  
Data Security ◽  
Security Protocol ◽  
Third Party ◽  
Cloud Environment ◽  
Security Threat ◽  
Trusted Third Party ◽  
Traditional System ◽  
User Data ◽  
Chosen Ciphertext Attack ◽  
Positive Results

Compared with the traditional system, cloud storage users have no direct control over their data, so users are most concerned about security for their data stored in the cloud. One security requirement is to resolve any threats from semi-trusted key third party managers. The proposed data security for cloud environment with semi-trusted third party (DaSCE) protocol has solved the security threat of key managers to some extent but has not achieved positive results. Based on this, this paper proposes a semi-trusted third-party data security protocol (ADSS), which can effectively remove this security threat by adding time stamp and blind factor to prevent key managers and intermediaries from intercepting and decrypting user data. Moreover, the ADSS protocol is proved to provide indistinguishable security under a chosen ciphertext attack. Finally, the performance evaluation and simulation of the protocol show that the ADSS security is greater than DaSCE, and the amount of time needed is lower than DaSCE.

scholarly journals A Secure Data Storage Strategy for Private Cloud

2020 ◽  
Vol 9 (6) ◽  
pp. 1043-1049
Keyword(s):  
Data Storage ◽  
Data Security ◽  
Key Management ◽  
Data Encryption ◽  
Cloud Services ◽  
Third Party ◽  
Widespread Application ◽  
Trusted Third Party ◽  
Cloud Data ◽  
Security Issues

In recent years, with the widespread application of cloud computing, more and more enterprises, institutions, and individuals have started to use cloud services to place their data in the cloud. With the rise of cloud services, the accompanying data security issues have received increasing attention. Because data stores are in the cloud, there are many outstanding security issues. This paper proposes a public cloud data security solution based on a trusted third-party platform. The solution is based on an independent and trusted third-party platform, and has certain advantages in data encryption, key management, data awareness, data sharing, and accident responsibility.

Sign in / Sign up

Export Citation Format

Share Document