Block Chain Based Decentralized Cloud Storage
G. Abinaya1, Preksha Kothari2, Alex Pavithran KP3, Manasi Biswas4, Farheen Khan5
1G. Abinaya, Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
2Preksha Kothari, Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
3Alex Pavithran K.P., Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
4Manasi Biswas, Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
5Farheen Khan, Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 673-684 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6206048419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper revolves around Block chain technology, a decentralized implementation. Cloud storage is traditionally known for it’s centralized system. Here is our take on using Block Chain technology as a decentralized cloud storage system. Wherein we use resiliency attacks to display the benefits of Block chain based decentralized cloud storage by performing key operations on our proposed decentralized structure. This work aims to construct a model of decentralized data storage technology based on Block chain with the purpose to improve the security and confidentiality of information. Therefore, in this paper we will analyze the existing centralized platform for data storage for the shortcomings, from which it is possible to give by building decentralized data storage on the basis of Block chain technology.
Keywords: Block Chain, Decentralized Cloud Storage, Merkle tree, Resiliency.
Scope of the Article: Cloud Computing