Efficient and secure auditing scheme for privacy preserving data storage in cloud

Anbuchelian, S.; Sowmya, C. M.; Ramesh, C.S.

doi:10.1007/s10586-017-1486-z

Cited by 20 publications

(10 citation statements)

References 16 publications

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“…Another privacy-preserving auditing approach is proposed by Anbuchelian et al [66]. The purpose of this method is to ensure that the TPA is denied from accessing the contents of the audited data.…”

Section: Privacy-preserving Public Auditing (Pppas)mentioning

confidence: 99%

Privacy preservation Models for Third-Party Auditor over Cloud Computing: a Survey

Razaque¹,

Frej²,

Alotaibi³

et al. 2021

Preprint

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Cloud computing has become a prominent technology due to its important utility service; this service concentrates on outsourcing data to organizations and individual consumers. Cloud computing has considerably changed the manner in which individuals or organizations store, retrieve, and organize their personal information. Despite the manifest development in cloud computing, there are still some concerns regarding the level of security and issues related to adopting cloud computing that prevent users from fully trusting this useful technology. Hence, for the sake of reinforcing the trust between Cloud Clients (CC) and Cloud Service Providers (CSP), as well as safeguarding the CC’s data in the cloud, several security paradigms of cloud computing based on a Third-Party Auditor (TPA) have been introduced. The TPA, as a trusted party, is responsible for checking the integrity of the CC’s data and all the critical information associated with it. However, the TPA could become an adversary and could aim to deteriorate the privacy of the CC’s data by playing a malicious role. In this paper, we present the state-of-art of cloud computing’s privacy-preserving models (PPM) based on a TPA. Three TPA factors of paramount significance have been discussed: TPA involvement, security requirements, and security threats caused by vulnerabilities. Moreover, TPA’s privacy preserving models have been comprehensively analyzed and categorized into different classes with an emphasis on their dynamicity. Finally, we discuss the limitations of the models and present our recommendations for their improvement.

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Section: Privacy-preserving Public Auditing (Pppas)mentioning

confidence: 99%

Privacy preservation Models for Third-Party Auditor over Cloud Computing: a Survey

Razaque¹,

Frej²,

Alotaibi³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Several recent researches in the respective area are studied in this section. S. Anbuchelian, et al [14] presented a secure cryptographic hash algorithm used to encrypt the data and split the data into many chunks of files. The method developed a new algorithm known as Modified RSA Cryptosystem (MRSAC), which was an enhancement of RSA key generation algorithm.…”

Section: Related Workmentioning

confidence: 99%

Markle Hellman Knapsack Crypto-System Auditing Scheme for Privacy Preserving in Cloud Storage

Kumar*¹,

Niranjan²,

Kumari³

2019

IJITEE

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Cloud computing is an on demand paradigm which provides a different kind of services to the cloud users. Cloud storage is the most popular service, as the data owners are free from the data management and storage overhead. However, the data owners’ concern about the security of the data. In order to address this issue, this paper presents an efficient security with an auditing scheme that guarantees the security of the data and preserve data integrity. In this paper, the cloud storage auditing model used efficient privacy preserving algorithm, namely Markle Hellman Knapsack Crypto-System (MHKCS) algorithm. This algorithm effectively improves the data integrity, confidentiality and security. Moreover, reduces the key generation time, encryption time and decryption time. The performance of MHKCS algorithm is calculated using evaluation metrics like encryption time, decryption time, key generation time and communication cost. The MHKCS algorithm achieved approximately 10% better performance in terms of encryption time than the existing methods RSA, MRSA, and MRSAC.

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“…The TPA auditing technique is used effectively to guarantee the DI and data encryption system is used in the TPA to secure the data. Recent method involves in the TPA aried [11][12][13][14][15] in this section to analyze its performance. Anbuchelian, et al [11] established secure cryptography hashing algorithm in the TPA to improve the security.…”

Section: Related Workmentioning

confidence: 99%

“…Recent method involves in the TPA aried [11][12][13][14][15] in this section to analyze its performance. Anbuchelian, et al [11] established secure cryptography hashing algorithm in the TPA to improve the security. After uploading the data, the user was provided with a private and public key for trustworthy retrieval of the data file, where modified RSA algorithm was used to generate these keys.…”

Section: Related Workmentioning

confidence: 99%

Modified Dynamic Hash Table with Threshold RSA for Dynamic and Public Auditing on Cloud Data

Babu¹,

D²

2019

IJITEE

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Cloud storage is one of the major application in the cloud, which can provide the on-demand outsourcing data service for both organizations as well as individuals. The Data Integrity (DI) check in the cloud is applied by the user to ensure the integrity of data. The Third Party Auditing (TPA) technique is later introduced to check the cloud DI. Many research has been carried out in the public auditing to minimize the computation cost of the integrity check. The most existing method involves in lack of security and low computation overhead. In this research, the Modified Dynamic Hash Table with threshold Rivest, Shamir, and Adelman Algorithm (RSA) algorithm (MDHT-RSA) is proposed to improve the security and reduce the computation cost. The threshold RSA cryptography system increase the security by generating the secret key to the user and reduce the computation cost. The Modified Dynamic Hash Table (MDHT) is used to record the data information for dynamic auditing, which is located in the TPA. The MDHT is differed from the Dynamic hash table, that the MDHT doesn’t contain the tag block whereas the dynamic hash table has the tag block. The MDHT-RSA is analyzed with the computation cost and compared with existing method. The experimental result proved that the MDHT-RSA method has low computation cost than state-of-art method in public auditing. The verification cost of the MDHT-RSA is 1.3 s while a state-of-art method DHT-PA has the 1.35 s for the 200 blocks of data.

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Efficient and secure auditing scheme for privacy preserving data storage in cloud

Cited by 20 publications

References 16 publications

Privacy preservation Models for Third-Party Auditor over Cloud Computing: a Survey

Privacy preservation Models for Third-Party Auditor over Cloud Computing: a Survey

Markle Hellman Knapsack Crypto-System Auditing Scheme for Privacy Preserving in Cloud Storage

Modified Dynamic Hash Table with Threshold RSA for Dynamic and Public Auditing on Cloud Data

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