Dynamic proof of retrievability based on public auditing for coded secure cloud storage

Balmany, Chawki El; Asimi, Ahmed; Bamarouf, Mohamed; Tbatou, Zakariae

doi:10.1007/s11042-022-13089-3

Cited by 5 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, a rank‐based MHT (rMHT) was implemented for conducting verifiable dynamic operations for data to handle replay attacks and replace attacks. In 2022, Asimi et al 25 exhibited an effective public auditing strategy to ensure the privacy‐preservation of data together with “Proof‐of‐Retrievability (PoR)”. They have consisted of guaranteeing the outsourced data file integrity of users through conducting several functionalities like (a) Acquiring low‐computational cost with dynamic data processing, (b) Data recovery, with the ability to identify the tempering or intact of stored data for challenging the Prover (CSP), (c) creation of signatures with “Boneh–Lynn–Shacham (BLS)‐Homomorphic Verifiable Tag (HVT)” for ensuring the integrity level, and (d) utilization of Goppa codes generator matrix for encoding outsourced file.…”

Section: Literature Surveymentioning

confidence: 99%

See 1 more Smart Citation

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

Aruna,

Arunachalaperumal

2024

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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.

show abstract

Section: Literature Surveymentioning

confidence: 99%

“…The rMHT 24 can have a provable security system that reduces the flaws in cloud security effectively but lots of trained data is required. The BLS‐HVT 25 ensures the integrity of users' un‐sourced data files but the data may corrupt due to its large size and less storage space.…”

Section: Literature Surveymentioning

confidence: 99%