JOURNAL ARTICLE

Context Aware Verifiable Cloud Computing

Jeveriya Anjum, Dr Shameem Akhter

Year: 2018 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

Cloud computing act as a significantpart for big data dispensation by providing statisticscalculating and treating facilities. Nevertheless, cloud facility breadwinners may spasm data confidentiality also offerimprecise data dispensation outcomes to operators, and hence cannot be completelyreliable. Contrariwise, inadequate by reckoning possessions and abilities, cloud users customarily cannot self-sufficientlyprocedure big data and accomplish authentication on the accuracy of data dispensation. This nurtures a distincttask on cloud computing authentication, exclusively when operator facts are kept at the cloud in an encodedmethod and administered for sustaining the requirementselevated in diverseframeworks. But the present prose still privations severe educations on this explorationtopic. In the present work, we offer a context-aware verifiable computing systembuilt on complete homomorphic encryption by arranging an assessingcode of behavior to authenticate the precision of the encoded data processing outcome. We projected four electiveassessing etiquettes to fulfilldiverse sanctuary necessities. The outcomes demonstrate the usefulness and productivity of our designs

Keywords:
Cloud computing Verifiable secret sharing Homomorphic encryption Context (archaeology) Confidentiality Authentication (law) Encryption

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Topics

Cloud Data Security Solutions
Physical Sciences →  Computer Science →  Information Systems
Cryptography and Data Security
Physical Sciences →  Computer Science →  Artificial Intelligence
Security and Verification in Computing
Physical Sciences →  Computer Science →  Artificial Intelligence

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