Improving dynamic data integrity verification in cloud computing

Khatri, Trushna S.; Jethava, Gordhan

doi:10.1109/icccnt.2013.6726483

Cited by 9 publications

(9 citation statements)

References 15 publications

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“…Erway et al [12] were who proposed a scheme for dynamic PDP. They extended the PDP scheme proposed by the Ateniese et al [2].In this scheme rank based rank based authenticated skip lists are used to support dynamic data operations [11] [12].This scheme is later improved by Feifei Liu [13]. This newly proposed scheme reduces the computational and communication complexity [11] [13].…”

Section: Amentioning

confidence: 99%

“…Later Ateniese et al [2] proposed dynamic version of PDP scheme but it does not support fully dynamic data operations [11]. This scheme offers only limited functionality and very basic blocks of operations [11]. Erway et al [12] were who proposed a scheme for dynamic PDP.…”

Section: Amentioning

confidence: 99%

“…But this scheme is beneficial for only static data they do not consider dynamic data storage [11]. Later Ateniese et al [2] proposed dynamic version of PDP scheme but it does not support fully dynamic data operations [11]. This scheme offers only limited functionality and very basic blocks of operations [11].…”

Section: Amentioning

confidence: 99%

“…In this scheme Homomorphic Variable tags are used to for auditing outsourced data. But this scheme is beneficial for only static data they do not consider dynamic data storage [11]. Later Ateniese et al [2] proposed dynamic version of PDP scheme but it does not support fully dynamic data operations [11].…”

Section: Amentioning

confidence: 99%

“…This scheme works in two phases' setup phase and challenge phase [2]. Ateniese et al [2] developed first PDP scheme in which they considered public audiability in their model for ensuring possession of data on untrusted storage [11]. In this scheme Homomorphic Variable tags are used to for auditing outsourced data.…”

Section: Amentioning

confidence: 99%

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A Comprehensive Survey on Data Integrity Proving Schemes in Cloud Storage

N¹,

B²

2014

International Journal of Advanced Research in Computer and Comm

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Cloud Computing is the technology which is gaining wide acceptance day by day .Cloud computing is a technology which provides different services like software as a service (Saas), Platform as a service (Paas) , Infrastructure as a service (Iaas).These services are provided through the internet. It is a challenge for computer user to store all the data that they have acquired because storage space is limited. So people prefer to buy hard disk and invest their money in it. Others use external devices like USB drives .But some prefer to store their data on cloud storage. There are many advantages of cloud storage such as easy scale up, easy scale down and many more. Along with advantages, it also brings some security related challenges. Clients move their data to remotely located server called cloud storage. But in cloud computing there is no provision to check the integrity of the data which is stored by the client. So there is need to overcome this challenge for efficient use of this technology. In this paper we are focusing on the basics of cloud storage, working of cloud storage system, various concepts related to data integrity like overview of data integrity, physical vs. logical integrity, Types of integrity constraints and survey on basic data integrity proving schemes. The basic data integrity proving schemes are Provable Data Possession (PDP) and Proof of Retrievability (PoR). On the basis of these schemes various techniques are proposed by different researchers. We also observe these techniques in this paper.

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Section: Amentioning

confidence: 99%

Section: Amentioning

confidence: 99%

Section: Amentioning

confidence: 99%

Section: Amentioning

confidence: 99%

Section: Amentioning

confidence: 99%

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A Comprehensive Survey on Data Integrity Proving Schemes in Cloud Storage

N¹,

B²

2014

International Journal of Advanced Research in Computer and Comm

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Efficient Data Integrity Verification Using CRC Based on HDFS in Cloud Storage

et al. 2017

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Abstract. Data integrity verification is becoming a major challenge in cloud storage which can't be ignored. This paper proposes an optimized variant of CRC (Checker Redundancy Cyclic) verification algorithm based on HDFS to improve the efficiency of data integrity verification in cloud storage through the research of CRC checksum algorithm and data integrity verification mechanism of HDFS. A new method is formulated to establish the deformational optimization and to accelerate the algorithm by researching characteristics of generating and checking the algorithm. Moreover, this method optimizes the code to improve the computational efficiency according to data integrity verification mechanism of HDFS. A data integrity verification system based on Hadoop is designed to verify proposed method. Experimental results demonstrate that proposed HDFS based CRC algorithm was able to improve the calculation efficiency and the utilization of system resource on the whole and outperformed well compared to existing models in terms of accuracy and time.

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Secure cloud auditing over encrypted data

Shaikh

Vora

2016

2016 International Conference on Communication and Electronics Systems (ICCES)

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Improving dynamic data integrity verification in cloud computing

Cited by 9 publications

References 15 publications

A Comprehensive Survey on Data Integrity Proving Schemes in Cloud Storage

A Comprehensive Survey on Data Integrity Proving Schemes in Cloud Storage

Efficient Data Integrity Verification Using CRC Based on HDFS in Cloud Storage

Secure cloud auditing over encrypted data

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