Enable data privacy, dynamics, and batch in public auditing scheme for cloud storage system

2021 ◽  
Author(s):  
Yilin Yuan ◽  
Jianbiao Zhang ◽  
Wanshan Xu ◽  
Zheng Li
Keyword(s):  
Cloud Storage ◽  
Data Privacy ◽  
Storage System ◽  
Public Auditing

Enable data privacy, dynamics, and batch in public auditing scheme for cloud storage system

2021 ◽  
Author(s):  
Yilin Yuan ◽  
Jianbiao Zhang ◽  
Wanshan Xu ◽  
Zheng Li
Keyword(s):  
Cloud Storage ◽  
Data Privacy ◽  
Storage System ◽  
Public Auditing

scholarly journals An extensive research survey on data integrity and deduplication towards privacy in cloud storage

2020 ◽  
Vol 10 (2) ◽  
pp. 2011
Author(s):  
Anil Kumar G. ◽  
Shantala C. P.
Keyword(s):  
Cloud Storage ◽  
Data Privacy ◽  
Storage System ◽  
Data Integrity ◽  
Data Deduplication ◽  
Research Issues ◽  
Existing Problems ◽  
Research Survey ◽  
Challenging Tasks ◽  
Future Direction

Owing to the highly distributed nature of the cloud storage system, it is one of the challenging tasks to incorporate a higher degree of security towards the vulnerable data. Apart from various security concerns, data privacy is still one of the unsolved problems in this regards. The prime reason is that existing approaches of data privacy doesn't offer data integrity and secure data deduplication process at the same time, which is highly essential to ensure a higher degree of resistance against all form of dynamic threats over cloud and internet systems. Therefore, data integrity, as well as data deduplication is such associated phenomena which influence data privacy. Therefore, this manuscript discusses the explicit research contribution toward data integrity, data privacy, and data deduplication. The manuscript also contributes towards highlighting the potential open research issues followed by a discussion of the possible future direction of work towards addressing the existing problems.

A Public Auditing Protocol for Cloud Storage System With Intrusion-Resilience

2020 ◽  
Vol 14 (1) ◽  
pp. 633-644 ◽  
Author(s):  
Ran Ding ◽  
Yan Xu ◽  
Jie Cui ◽  
Hong Zhong
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Public Auditing ◽  
Intrusion Resilience

scholarly journals Public Auditing Scheme for Integrity Verification in Distributed Cloud Storage System

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
K. Mahalakshmi ◽  
K. Kousalya ◽  
Himanshu Shekhar ◽  
Aby K. Thomas ◽  
L. Bhagyalakshmi ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Data Integrity ◽  
Communication Cost ◽  
Disk Drives ◽  
Public Auditing ◽  
Integrity Verification ◽  
Digital Signature Algorithm ◽  
Cost Metrics ◽  
Distributed Cloud

Cloud storage provides a potential solution replacing physical disk drives in terms of prominent outsourcing services. A threaten from an untrusted server affects the security and integrity of the data. However, the major problem between the data integrity and cost of communication and computation is directly proportional to each other. It is hence necessary to develop a model that provides the trade-off between the data integrity and cost metrics in cloud environment. In this paper, we develop an integrity verification mechanism that enables the utilisation of cryptographic solution with algebraic signature. The model utilises elliptic curve digital signature algorithm (ECDSA) to verify the data outsources. The study further resists the malicious attacks including forgery attacks, replacing attacks and replay attacks. The symmetric encryption guarantees the privacy of the data. The simulation is conducted to test the efficacy of the algorithm in maintaining the data integrity with reduced cost. The performance of the entire model is tested against the existing methods in terms of their communication cost, computation cost, and overhead cost. The results of simulation show that the proposed method obtains reduced computational of 0.25% and communication cost of 0.21% than other public auditing schemes.

scholarly journals A New Hybrid Automated Security Framework to Cloud Storage System

Cryptography ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 37
Author(s):  
Noha E. El-Attar ◽  
Doaa S. El-Morshedy ◽  
Wael A. Awad
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Data Privacy ◽  
High Performance ◽  
Storage System ◽  
Third Party ◽  
File Size ◽  
Cloud Data ◽  
Security Issues ◽  
User Data

The need for cloud storage grows day after day due to its reliable and scalable nature. The storage and maintenance of user data at a remote location are severe issues due to the difficulty of ensuring data privacy and confidentiality. Some security issues within current cloud systems are managed by a cloud third party (CTP), who may turn into an untrustworthy insider part. This paper presents an automated Encryption/Decryption System for Cloud Data Storage (AEDS) based on hybrid cryptography algorithms to improve data security and ensure confidentiality without interference from CTP. Three encryption approaches are implemented to achieve high performance and efficiency: Automated Sequential Cryptography (ASC), Automated Random Cryptography (ARC), and Improved Automated Random Cryptography (IARC) for data blocks. In the IARC approach, we have presented a novel encryption strategy by converting the static S-box in the AES algorithm to a dynamic S-box. Furthermore, the algorithms RSA and Twofish are used to encrypt the generated keys to enhance privacy issues. We have evaluated our approaches with other existing symmetrical key algorithms such as DES, 3DES, and RC2. Although the two proposed ARC and ASC approaches are more complicated, they take less time than DES, DES3, and RC2 in processing the data and obtaining better performance in data throughput and confidentiality. ARC outperformed all of the other algorithms in the comparison. The ARC’s encrypting process has saved time compared with other algorithms, where its encryption time has been recorded as 22.58 s for a 500 MB file size, while the DES, 3DES, and RC2 have completed the encryption process in 44.43, 135.65, and 66.91 s, respectively, for the same file size. Nevertheless, when the file sizes increased to 2.2 GB, the ASC proved its efficiency in completing the encryption process in less time.

A system of privacy preserving public auditing for secure cloud storage system

2021 ◽  
Author(s):  
S. Asif ◽  
U. Veerash ◽  
G. Krishna Lava Kumar
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Privacy Preserving ◽  
Public Auditing ◽  
Secure Cloud Storage

Privacy Preserving Public Auditing in Secured Cloud Storage

2012 ◽  
Vol 3 (3) ◽  
pp. 60-61
Author(s):  
V.Sajeev V.Sajeev ◽  
◽  
R.Gowthamani R.Gowthamani
Keyword(s):  
Cloud Storage ◽  
Privacy Preserving ◽  
Public Auditing

Public Auditing for Regenerating-Code-Based Cloud Storage

2017 ◽  
Author(s):  
Jyoti Mahajan ◽  
Borkar B.S
Keyword(s):  
Cloud Storage ◽  
Public Auditing ◽  
Regenerating Code
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