Hy-SAIL : hyper-scalability, availability and integrity layer for cloud storage systems
Cloud storage has gained increasing attention from the industry and research communities with concerns about data stored in cloud computing environments, despite its many advantages. The reasons come from economic viability to the latency along with behavioral changes that may affect the applicati...
| Main Authors: | Amaral, Dino Macedo, Gondim, João José Costa, Albuquerque, Robson de Oliveira, Sandoval Orozco, Ana Lucila, García Villalba, Luis Javier |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
IEEE
2020
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| Subjects: | |
| Online Access: |
https://repositorio.unb.br/handle/10482/37052 |
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| Summary: |
Cloud storage has gained increasing attention from the industry and research communities
with concerns about data stored in cloud computing environments, despite its many advantages. The reasons
come from economic viability to the latency along with behavioral changes that may affect the applications
that use data stored remotely. Among those challenges, there is the problem of ensuring the integrity and
retrievability of users' data in the cloud. Several schemas have been proposed: proof of data possession
(PDP), proof of retrievability (PoR), and proof of ownership (PoW) that differ on the approach to guarantee
the effective retrieval of data stored remotely. In this paper, a novel PoR protocol is proposed: hyperscalability,
availability, and integrity layer (Hy-SAIL), where a new PoR scheme adds higher availability
to data stored and a exible manner to perform integrity checks. It is demonstrated that Hy-SAIL leads to an
ef cient and scalable cryptographic system that meets near-optimal bounds in terms of communication and
storage complexities. It is also proposed a new adversarial model that aggregates the main functionalities of
a realistic adversary in cloud computing environments. Hy-SAIL operates on data that are not affected by
any kind of incremental change or update, which is the characteristic of various le types stored in clouds,
such as stored video and audio streams. When compared to other systems, such as HAIL, Hy-SAIL is more
scalable and ef cient. The results collected with an unoptimized implementation of Hy-SAIL point to a
better perspective than other approaches. |
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