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.

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 S3DCE: Secure Storing and Sharing of Data in Cloud Environment using user Phrase

2020 ◽  
Vol 9 (4) ◽  
pp. 1191-1198
Keyword(s):  
Resource Utilization ◽  
Data Security ◽  
Communication Channel ◽  
Third Party ◽  
Public Key ◽  
Time Cost ◽  
Cloud Environment ◽  
The Public ◽  
User Data ◽  
Distributed Cloud

Distributed Cloud Environment (DCE) focuses mainly on securing the data and safely shares it to the user. Data leakage may occur by the channel compromising or with the key managers. It is necessary to safeguard the communication channel between the entities before sharing the data. In this process of sharing, what if the key managers compromises with intruders and reveal the information of the user’s key that is used for encryption. The process of securing the key by using the user’s phrase is the key concept used in the proposed system “Secure Storing and Sharing of Data in Cloud Environment using User Phrase (S3DCE). It does not rely on any key managers to generate the key instead; the user himself generates the key. In order to provide double security, the public key derived from the user’s phrase also encrypts the encryption key. S3DCE guarantees privacy, confidentiality and integrity of the user data while storing and sharing. The proposed method S3DCE is more efficient in terms of time, cost and resource utilization compared to the existing algorithm DaSCE (Data Security for Cloud Environment with Semi Trusted Third Party) [22] and DACESM (Data Security for Cloud Environment with Scheduled Key Managers) [23].

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.

Data Security Issues and Solutions in Cloud Computing

2016 ◽  
pp. 2076-2095
Author(s):  
Abhishek Majumder ◽  
Sudipta Roy ◽  
Satarupa Biswas
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Data Security ◽  
Cloud Service ◽  
Third Party ◽  
Service Availability ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Storage And Retrieval ◽  
Security Issues

Cloud is considered as future of Information Technology. User can utilized the cloud on pay-as-you use basis. But many organizations are stringent about the adoption of cloud computing due to their concern regarding the security of the stored data. Therefore, issues related to security of data in the cloud have become very vital. Data security involves encrypting the data and ensuring that suitable policies are imposed for sharing those data. There are several data security issues which need to be addressed. These issues are: data integrity, data intrusion, service availability, confidentiality and non-repudiation. Many schemes have been proposed for ensuring data security in cloud environment. But the existing schemes lag in fulfilling all these data security issues. In this chapter, a new Third Party Auditor based scheme has been proposed for secured storage and retrieval of client's data to and from the cloud service provider. The scheme has been analysed and compared with some of the existing schemes with respect to the security issues. From the analysis and comparison it can be observed that the proposed scheme performs better than the existing schemes.

TETPA: A case for trusted third party auditor in Cloud environment

2013 ◽  
Author(s):  
Songzhu Mei ◽  
Cong Liu ◽  
Yong Cheng ◽  
Jiangjiang Wu ◽  
Zhiying Wang
Keyword(s):  
Third Party ◽  
Cloud Environment ◽  
Trusted Third Party

scholarly journals Mutual query data sharing protocol for public key encryption through chosen-ciphertext attack in cloud environment

2022 ◽  
Vol 12 (1) ◽  
pp. 853
Author(s):  
Tarasvi Lakum ◽  
Barige Thirumala Rao
Keyword(s):  
Data Sharing ◽  
Public Key ◽  
Communication Overhead ◽  
Public Key Encryption ◽  
Cloud Environment ◽  
Diffie Hellman ◽  
User Data ◽  
Time Limitations ◽  
Chosen Ciphertext Attack ◽  
Existing Data

<p><span>In this paper, we are proposing a mutual query data sharing protocol (MQDS) to overcome the encryption or decryption time limitations of exiting protocols like Boneh, rivest shamir adleman (RSA), Multi-bit transposed ring learning parity with noise (TRLPN), ring learning parity with noise (Ring-LPN) cryptosystem, key-Ordered decisional learning parity with noise (kO-DLPN), and KD_CS protocol’s. Titled scheme is to provide the security for the authenticated user data among the distributed physical users and devices. The proposed data sharing protocol is designed to resist the chosen-ciphertext attack (CCA) under the hardness solution for the query shared-strong diffie-hellman (SDH) problem. The evaluation of proposed work with the existing data sharing protocols in computational and communication overhead through their response time is evaluated.</span></p>

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