Security and Privacy Designs Based Data Encryption in Cloud Storage and Challenges: A Review

Mogarala, Aruna; Mohan, K.

doi:10.1109/icccnt.2018.8493674

Cited by 8 publications

(3 citation statements)

References 37 publications

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“…We have conducted a comparative analysis of the DAC methodology with the schemes delineated in [7,9,11]. This comparison hinges on the time intervals required for both the file upload and file download phases.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…Users can store their massive data in the cloud, and cloud computing can provide effective services according to the needs of users [3]. Cloud storage has garnered widespread attention and support due to its cost-effectiveness and scalability; however, it is not without its challenges, notably in the domains of security, performance, and overall quality [4][5][6][7][8][9]. There is often a need to outsource some confidential data [10], for which privacy is the key concern [11,12].…”

Section: Introductionmentioning

confidence: 99%

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Provably Secure Data Access Control Protocol for Cloud Computing

Zhang,

Chen,

Zhang

2023

Symmetry

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Currently, cloud storage servers are controlled by a third-party administrator. This semi-trusted approach gives rise to security concerns. Therefore, in cloud computing, some protocols use a key manager to encrypt the user’s private data before uploading the data to the cloud. However, the security concerns that arise from the use of a key manager are not yet solved. In this respect, in this paper, a provably secure user cloud data access control protocol (DAC) is proposed based on existing cloud storage. Empirical tests confirm that the proposed approach is highly secure against adaptive selective ciphertext attacks and has excellent resistance to message attacks. A comprehensive performance evaluation, including time measurements, is conducted and the protocol is compared to other protocols, revealing the efficient file upload and download processes of the proposed approach. The results demonstrate the protocol’s strong security, practicality, and operational efficiency.

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Section: Performance Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Provably Secure Data Access Control Protocol for Cloud Computing

Zhang,

Chen,

Zhang

2023

Symmetry

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“…Cloud storage solutions provide a centralized remote system established through the cooperation of multiple networked devices [1]. In a cloud storage system, a service provider is responsible for managing and securing the user's confidential data [2,3]. From the user's point of view, a single entity for data management may also be a single point of failure [4,5].…”

Section: Introductionmentioning

confidence: 99%

Robust-DSN: A Hybrid Distributed Replication and Encoding Network Grouped with a Distributed Swarm Workflow Scheduler

Hameed,

Barzegar,

Ioini

et al. 2024

Electronics

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In many distributed applications such as the Internet of Things (IoT), large amounts of data are being generated that require robust storage solutions. Traditional cloud solutions, although efficient, often lack trust and transparency because of centralized management. To address these issues, we present Robust-DSN, a distributed storage network leveraging the hybrid distributed replication and encoding network (HYDREN) and the distributed swarm workflow scheduler (DSWS) as its main components. Our system uses an interplanetary file system (IPFS) as an underlay storage network and segments it into multiple regions to distribute the failure domain and improve the data’s proximity to users. HYDREN incorporates Reed–Solomon encoding and distributed replication to improve file availability, while DSWS optimizes resource allocation across the network. The uploaded file is encoded into chunks and distributed across distinct optimal nodes leveraging lightweight multithreading. Additionally, Robust-DSN verifies the integrity of all chunks by preserving the hashes when uploading and validating each chunk while downloading. The proposed system provides a comprehensive solution for resilient distributed data storage, focusing on the key challenges of data availability, integrity, and performance. The results reveal that compared with a state-of-the-art system, the proposed system improves file recovery by 15%, even with a 50% peer failure rate. Furthermore, with replication factor 4 and the same failure resilience as IPFS, it saves 50% storage and enhances file recovery by 8%. Robust-DSN acts as a distributed storage platform for emerging technologies, expanding storage system capabilities in a wide range of distributed applications.

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