Cloud Data Integrity Checking Using Third Party Auditor: A Survey

Cloud computing is an enormous area which shares huge amount of data over cloud services and it has been increasing with its on-demand technology. Since, with these versatile cloud services, when the delicate data stored within the cloud storage servers, there are some difficulties which has to be managed like its Security Issues, Data Privacy, Data Confidentiality, Data Sharing and its integrity over the cloud servers dynamically. Also, the authenticity and data access control should be maintained in this wide environment. Thus, Attribute based Encryption (ABE) is a significant version of cryptographic technique in the cloud computing environment. Data integrity, one of the most burning challenges in secure cloud storage. Data auditing protocols enable a verifier to efficiently check the integrity of the files without downloading the entire file from the cloud. In this paper cloud data integrity checking is performed by introducing attribute-based cloud data auditing where users can upload files to cloud through some set of attributes and specify auditor to check the integrity of data files. Existing protocols are mostly based on public key infrastructure or an exact identity, which lacks ?exibility of key management. In this research work Cloud data integrity checking is performed by introducing attribute-based cloud data auditing where users can upload files to cloud through some set of attributes and specify auditor to check the integrity of data files. Variable attributes are used to generate the private key and their performance is evaluated under variable attribute list.

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Cloud data integrity checking protocol from lattice

International Journal of High Performance Computing and Networking ◽

10.1504/ijhpcn.2015.070020 ◽

2015 ◽

Vol 8 (2) ◽

pp. 167 ◽

Cited By ~ 2

Author(s):

Xiufeng Zhao ◽

Xiang Wang ◽

Hao Xu ◽

Yilei Wang

Keyword(s):

Data Integrity ◽

Cloud Data ◽

Integrity Checking ◽

Data Integrity Checking

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A Survey on Cloud Computing Techniques for Data Integrity Checking

International Journal for Innovation Education and Research ◽

10.31686/ijier.vol7.iss6.1560 ◽

2019 ◽

Vol 7 (6) ◽

pp. 130-141

Author(s):

Rahma Haroun

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Large Data ◽

Data Integrity ◽

Cloud Service ◽

Security Risk ◽

Memory Space ◽

Cloud Data ◽

Integrity Checking ◽

Data Integrity Checking

Cloud computing is a term that used instead of internet to describe the infrastructure, software services and storage via internet. Large data centers are available in cloud for remotely store user data. The users have no data control privileges when the data transferred to the Cloud and they are not aware of any security risk. Data can be altered by unauthorized user, threats and dishonest server. Farther more, Data which are either unused for a long a time or takes large memory space can be deleted by cloud service provider. The main issue of cloud computing today is data integrity and how can be maintaining. There for, security challenges users are need to ensure that their data are integral by periodically Data integrity checking. Several integrity checking techniques have been proposed to ensure the data integrity in cloud storage. This paper provides a survey of various data integrity checking techniques for cloud data stored. Objective of this survey focusing on existing integrity check techniques for cloud data storage and presenting their characteristics, benefits, functionality and limitations.

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ID-Based Public Auditing Protocol for Cloud Data Integrity Checking with Privacy-Preserving and Effective Aggregation Verification

Security and Communication Networks ◽

10.1155/2018/3205898 ◽

2018 ◽

Vol 2018 ◽

pp. 1-9

Author(s):

Baoyuan Kang ◽

Lin Si ◽

Hong Jiang ◽

Chunqing Li ◽

Mingming Xie

Keyword(s):

Rapid Development ◽

Data Integrity ◽

Cloud Service ◽

Data File ◽

Privacy Preserving ◽

Forgery Attack ◽

Public Auditing ◽

Cloud Data ◽

Integrity Checking ◽

Data Integrity Checking

With the rapid development of cloud service, people with limited storage space can store their data files to the cloud and delete the file in their memory. However, the cloud service provider may change or partly delete user’s file for his benefit. Therefore, it is necessary for the user to periodically check the data file integrity. Public auditing protocols are just designated for checking the data file integrity by an auditor on behalf of the user. Recently, based on ID-based cryptography many ID-based public auditing protocols for cloud data integrity checking are proposed. However, some existing protocols are subjected to forgery attack. Other existing protocols cannot preserve the privacy of the user, as the auditor can obtain user’s file content through times of auditing the same file blocks. In this paper, we propose a new ID-based public auditing protocol for cloud data integrity checking with optimized structure, privacy-preserving, and effective aggregation verification. We also prove that the proposed protocol can resist forgery attack under the assumption that the Diffie-Hellman problem is hard. Furthermore, we compare our protocol with other ID-based auditing protocols.

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Comparable Encryption Scheme over Encrypted Cloud Data in Internet of Everything

Security and Communication Networks ◽

10.1155/2017/6430850 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11

Author(s):

Qian Meng ◽

Jianfeng Ma ◽

Kefei Chen ◽

Yinbin Miao ◽

Tengfei Yang

Keyword(s):

Model Performance ◽

Data Integrity ◽

Cloud Service ◽

Third Party ◽

Encryption Scheme ◽

Cloud Data ◽

Practical Applications ◽

Internet Of Everything ◽

Window Method ◽

Comparable Encryption

User authentication has been widely deployed to prevent unauthorized access in the new era of Internet of Everything (IOE). When user passes the legal authentication, he/she can do series of operations in database. We mainly concern issues of data security and comparable queries over ciphertexts in IOE. In traditional database, a Short Comparable Encryption (SCE) scheme has been widely used by authorized users to conduct comparable queries over ciphertexts, but existing SCE schemes still incur high storage and computational overhead as well as economic burden. In this paper, we first propose a basic Short Comparable Encryption scheme based on sliding window method (SCESW), which can significantly reduce computational and storage burden as well as enhance work efficiency. Unfortunately, as the cloud service provider is a semitrusted third party, public auditing mechanism needs to be furnished to protect data integrity. To further protect data integrity and reduce management overhead, we present an enhanced SCESW scheme based on position-aware Merkle tree, namely, PT-SCESW. Security analysis proves that PT-SCESW and SCESW schemes can guarantee completeness and weak indistinguishability in standard model. Performance evaluation indicates that PT-SCESW scheme is efficient and feasible in practical applications, especially for smarter and smaller computing devices in IOE.

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