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Cloud computing is now being utilized as a prospective alternative for storage service. Privacy breach, malicious modification and data loss are emerging cyber threats against cloud storage. Recently, a fog server based three-layer architecture has been presented for secure storage employing multiple clouds. Fog computing is a promising computing paradigm that extends cloud computing to the edge of networks. Similar to cloud computing but with distinct characteristics, fog computing faces new security and privacy challenges besides those inherited from cloud computing. The proposed system is a improved and efficient fog-centric secure cloud storage scheme to protect data against unauthorized access, modification, and destruction. To enhance the efficiency of fog based cloud storage service by implementing the secure data search. It performs data search on encrypted data, which provides provable secrecy for encryption, query isolation, controlled searching, and support of hidden query. The security is improved by a robust fog centric cloud computing infrastructure. The user data is outsourced and user’s control over data is handed over to fog node, which introduces same security threats as it is in cloud computing. First, it is hard to ensure data integrity, since the outsourced data could be lost or incorrectly modified. Second, the uploaded data could be abused by unauthorized parties for other interests. To address these threats, auditable data storage service has been proposed in the context of cloud computing to protect the data. Techniques such as homomorphic encryption and searchable encryption are combined to provide integrity, confidentiality and verifiability for cloud storage system to allow a client to check its data stored on untrusted server.
Keywords:
Fog Computing, Homomorphic Encryption, Searchable Encryption
Cite Article:
"A Fog-Centric Secure Cloud Storage Scheme ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.5, Issue 4, page no.59 - 63, April-2020, Available :http://www.ijrti.org/papers/IJRTI2004009.pdf
Downloads:
000204759
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator