BB-tree based secure and dynamic public auditing convergence for cloud storage

Mishra, Rahul; Ramesh, Dharavath; Edla, Damodar Reddy

doi:10.1007/s11227-020-03456-y

Cited by 10 publications

(22 citation statements)

References 45 publications

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“…The private auditing was performed among the users and CSP with the lesser communication. But, the two-party private auditing was not able to provide authenticated outcomes whereas the group of users and CSP will not trust each other [8]. The public auditing utilizes Third Party Auditor (TPA) to check whether the users' data are stored correctly by cloud server and establishes Service Level Agreement (SLA) among the cloud users CSP.…”

Section: Introductionmentioning

confidence: 99%

Dynamic and Secure Public Auditing of User Data in Cloud by Using IRSAC

2022

IJIES

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Cloud computing is gaining popularity due to its higher performance in evaluation computing such as wider availability, lower cost of service, and scalability. Cloud storage is most used in the application where the users get benefits to maintain the local storage device. However, the data integrity is more complex in cloud storage as the Cloud Service Providers (CSP) will lose their outsourced data from users in some accidents. The Third-Party Auditor (TPA) in public auditing makes an impractical assumption, which has a higher computation capability to tolerate the expensive verifications of overhead. Further, the public key infrastructure-based is audited to verify each owner's public key certification that depends on the mechanism and management of public-key certificates. In this research, proposed Improved Rivest Shamir Adleman Cryptosystem (IRSAC) algorithm for dynamic and secure public auditing of user data in the cloud. The encryption and smaller chunks formation is carried out using the Novel and Secure Cryptography-Hashing (NSCH) algorithm. When data gets uploaded, the private and public key is issued to the users to retrieve the secure data. Both the keys are obtained using the IRSAC algorithm that effectively audits the data files regularly. These experimental results showed that the proposed IRSAC method acquires lesser encryption and decryption time of 1420ms and 240ms for 1000 bits of data size. Whereas, the existing method acquired encryption and decryption time of 2210ms and 250ms respectively.

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Section: Introductionmentioning

confidence: 99%

Dynamic and Secure Public Auditing of User Data in Cloud by Using IRSAC

2022

IJIES

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“…Attribute-based encryption (ABE) is utilized for encryption that delivers access control and functionality of encryption together, which has attracted many researchers' attention. The ABE is a different type of public-key encryption method which implements flexible access controls to encrypted documents [7]. ABE technique is employed in many applications and serves as the base for implementing the "one to many" sharing of files and fine graining, whereas the traditional techniques provide only "one to one" encryption [8].…”

Section: Introductionmentioning

confidence: 99%

Enhanced CP-ABE with RSA for Secure and Revocable Data Transmission of Big Data in Cloud

2022

IJIES

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Cloud computing is a diversified domain and is a huge phenomenon that is a widely preferred technology in the current times. The users are unable to utilize cloud computing to the maximum, due to challenges in the security issues. To store sensitive or useful data in an insecure region is not an option for the user. Various techniques have been developed to provide security for the big data in the cloud. During voluminous data transmissions, it will not maintain the end-to-end security and the prevailing approaches do not solve the key complexities and not provides security for the keys. The Attribute-Based Encryption (ABE) can deliver a mechanism of fine-grained control by providing one-to-many encryption. But, the revocable process of accessing the privilege of encrypted data of users from cloud servers is challenging. Further, the complex process of ABE takes up huge computational time hence it becomes a burden for system users. To solve such issues, the proposed Enhanced Cipher-text Policy-based Attribute Encryption (CP-ABE) protect, broadcast and control the access of information, especially over the cloud server. In the proposed Enhanced CP-ABE method, proxy is added to securely transmit the key to the users. The Rivest Shamir Adleman (RSA) Algorithm provides security to outsourced big data in the cloud that enables public key encryption secure data when it is being sent over an insecure network such as the internet. The proposed Enhanced CP-ABE with RSA method effectively identifies the users who decrypt the ciphertexts during decryption. The experimental results show that the proposed Enhanced CP-ABE with RSA Scheme method acquires lesser encryption and decryption times of 1638 ms and 1102 ms respectively for a 256-bit key length. Whereas, the existing methods acquire encryption and decryption times of 1721ms and 1134 ms respectively.

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“…To be specific, the auditing scheme should keep data confidential against the TPA. 4, [13][14][15][17][18][19][22][23][24][25][27][28][29] In real applications, public auditing schemes that cannot achieve dynamic operations will be restricted. The dynamic operations of data blocks include update, insertion, and deletion.…”

mentioning

confidence: 99%

“…18 And to be more practical, dynamic support for public auditing schemes are greatly developed by the researchers. [3][4][5][6][7][8][9][10][11][12][13][14][15][17][18][19][20]23,[26][27][28][29] Under cloud storage environment, due to the large number of cloud storage users, accordingly, there are also many users who deputes audits.…”

mentioning

confidence: 99%

“…Thus, it is necessary to deploy batch audit when public auditing, and the schemes that can perform audits for multiple DOs or multiple files for one user are proposed. 3,4,14,15,[17][18][19][20][21][22][23]26,28,29 Furthermore, to enhance the practicality and flexibility, some scholars are committed to construct the public auditing scheme that supports the above three functions at the same time. 4,14,15,[17][18][19]23,28,29 These fruitful schemes not only meet all the indispensable functions and security needs of public auditing, but also can be applied to a wider range of application scenarios.…”

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confidence: 99%

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

Yuan

Zhang

et al. 2021

Concurrency and Computation

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With the popularity of cloud computing, cloud storage technology has also been widely used. Among them, data integrity verification is a hot research topic. At present, the realization of public auditing has become the development trend of integrity verification. Most existing public auditing schemes rarely consider some indispensable functions at the same time. Thus, in this article, we propose a comprehensive public auditing scheme (PDBPA) that can simultaneously support data privacy protection, data dynamics, and multi-user batch auditing. To guarantee privacy protection during the audit process, our PDBPA design a new method of constructing audit proof, which combines random masking techniques and bilinear properties of bilinear pairing. Not only can it ensure that TPA performs audits correctly, but it can also prevent it from exploring the user's sensitive data. In addition, by utilizing the modified dynamic hash table, which is a novel and small two-dimensional data structure, data dynamics can be effectively achieved. Furthermore, we provide a detailed process for the third-party auditors to perform batch audits for multiple users. Moreover, we give the detailed and rigorous security analysis in defending against forgery attack, replace attack, and replay attack. Performance evaluations demonstrate that our PDBPA scheme is effective and feasible. K E Y W O R D Sbatch auditing, cloud computing, data dynamics, data privacy protection, public auditing, security cloud storage INTRODUCTIONWith the advent of the information era, more and more people choose to outsource their data to cloud storage servers to save local storage space. Cloud server provider (CSP) supplies users with large-capacity, high-performance storage services, and users only need to determine service type according to own needs. However, because users have lost physical control of outsourced data, people have doubts about the security and integrity of data on the cloud. For example, untrustworthy CSP may deliberately discard data that users do not frequently access to save storage space; or lose user data due to their own mistakes but choose to conceal clients to maintain their reputation. Thus, it is a hard challenge whether the cloud storage system and its provider can meet the user's security requirements for data storage. To secure this, designing the data integrity checking scheme that can verify the integrity of outsourced data and resist malicious CSP has become a research hotspot for scholars.The traditional remote data integrity checking schemes require the user to download all the data blocks that have been uploaded to the CSP to the local, and then perform the verification, which is neither practical nor advisable. In fact, this is the method adopted by the private verification and has two gaps: (a) It will inevitably bring huge costs to the data owner (DO), especially when the DO possess the device with tight storage space

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BB-tree based secure and dynamic public auditing convergence for cloud storage

Cited by 10 publications

References 45 publications

Dynamic and Secure Public Auditing of User Data in Cloud by Using IRSAC

Dynamic and Secure Public Auditing of User Data in Cloud by Using IRSAC

Enhanced CP-ABE with RSA for Secure and Revocable Data Transmission of Big Data in Cloud

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

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