Dynamic large branching hash tree based secure and efficient dynamic auditing protocol for cloud environment

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

doi:10.1007/s10586-020-03193-0

Cited by 15 publications

(8 citation statements)

References 43 publications

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“…Apart from that, the so en is used by the auditor for decrypting the random numbers (ur 1 , ur 2 , • • • ur x ) and recovering the x− number of sectors from fl id and the file name ( fl name ) . Then, the auditor has the ability to check the outsourced block integrity as given in Equation (6).…”

Section: Verification Stagementioning

confidence: 99%

“…It is ensured by verifying the integrity of data using efficient data storage auditing protocols. 6 The auditing protocol must have essential properties like (1) batch auditing-it should have the ability to support this auditing services for various clouds and several owners, (2) dynamic auditing-it should manage the dynamic updates of data, and (3) confidentiality-it must preserve data confidentiality of owners against the auditor. Thus, auditing protocol can withstand various data users and several clouds to give protection to the data.…”

Section: Introductionmentioning

confidence: 99%

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Development of hybrid heuristic‐assisted dynamic data auditing strategy in cloud sector

Aruna,

Arunachalaperumal

2024

Trans Emerging Tel Tech

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Cloud computing is performed by hosting the data of data owners on cloud servers, where the data consumers (users) are able to get the data over servers. Though, several security aspects are raised during cloud storage regarding the data availability and data integrity. On the other hand, a novel scheme of data hosting services is introduced owing to data outsourcing which also raises additional security problems. In addition, several methods are presented by taking either “identity‐based cryptography (IBC) or public key infrastructure (PKI).” Hence, a secure and effective dynamic data auditing scheme is preferable for convincing data owners to ensure precise data storage in the cloud. This paper focuses on implementing a new hybrid heuristic‐assisted strategy for managing cloud storage with the help of efficient auditing schemes. This paper tries to optimize the data structures in the cloud storage with a new improved hybrid differential evolution‐teamwork optimization algorithm (HED‐TOA) with the integration of the teamwork optimization algorithm (TOA) and differential evolution (DE) algorithms. It aims to alleviate the problems raised during the dynamic data update operations including “insert, modify, delete, and append.” This improved HED‐TOA help in performing the data auditing. This model overcomes the problem of modifications occurring in the data structure while doing the dynamic data update operations and thus, it ensures efficient data auditing and data management in cloud computing. This work considers the aim of reducing computation as well as communication costs during the data storage process in the cloud. The performance estimation demonstrates that there is considerable contrast between the traditional methods and the proposed technique in terms of the communication and computation cost on the cloud and auditor.

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Section: Verification Stagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of hybrid heuristic‐assisted dynamic data auditing strategy in cloud sector

Aruna,

Arunachalaperumal

2024

Trans Emerging Tel Tech

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“…Gary et al 19 design a protocol in order to reduce the computation complexity of client in setup phase, which is efficient in client. In 2020, Mishra et al 20 consider the homomorphic verifiable authenticator (HVA) bases on aggregate signature scheme and propose a public auditing protocol, which supports batch auditing and batch dynamic operations. In 2022, Yang et al 21 design a number‐rank‐based Merkle hash tree (NR‐MHT), which can support data dynamic operations.…”

Section: Introductionmentioning

confidence: 99%

IPAPS: An improved public auditing protocol for secure data storage in cloud‐based medical storage system

Tang

Wang

Zhao

et al. 2023

Trans Emerging Tel Tech

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Cloud‐based medical storage system is becoming popular. Cloud server is curious about the private information of stored cases, and the integrity of outsourced data has become increasingly concerned. Numerous public auditing protocols for the outsourced data into the cloud server were proposed. Unfortunately, in the existing protocols, some of them may neglect security to improve efficiency. Recently, Li et al. proposed an efficient privacy‐preserving public auditing protocol for cloud‐based medical storage system (EPPAP), which improved the communication efficiency by storing some of data owner's data in third part auditors, however we find that the protocol is vulnerable to collusion attack and replace attack. In this paper, we analyze the security attacks of the existing protocol, and further propose an improved public auditing protocol for secure data storage in cloud‐based medical storage system (IPAPS). In addition, we give the formal security proof and analyze the performance of our proposed protocol. The security proof shows our protocol takes into account integrity, collusion attack and replace attack at the same time. The simulation experiments in our performance analysis show that the proposed protocol is practical.

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“…To be exact, the fairness of the verification makes both parties questionable. To handle this, it is necessary to conduct public verification 1–37 …”

Section: Introductionmentioning

confidence: 99%

“…Guo et al 28 also proposed a lightweight privacy‐preserving and batch auditing scheme. By constructing the binary binomial tree 29 and dynamic larger branching tree, 30 Mishra et al provided two comprehensive public auditing schemes respectively. Combing the asymmetric authentication with variant 3 of ECDSA (elliptic curve digital signature algorithm) to the PDP, Jayaraman and Panneerselvam 31 proposed a privacy‐preserving public auditing scheme.…”

Section: Introductionmentioning

confidence: 99%

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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Dynamic large branching hash tree based secure and efficient dynamic auditing protocol for cloud environment

Cited by 15 publications

References 43 publications

Development of hybrid heuristic‐assisted dynamic data auditing strategy in cloud sector

Development of hybrid heuristic‐assisted dynamic data auditing strategy in cloud sector

IPAPS: An improved public auditing protocol for secure data storage in cloud‐based medical storage system

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

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