A Survey on Feature Fatigue Analysis Using Machine Learning Approaches for Online Products

Midhunchakkaravarthy, M and Midhunchakkravarthy, Divya and Balaganesh, D. and Vivekanandam, B. and Devaraj, Albert (2021) A Survey on Feature Fatigue Analysis Using Machine Learning Approaches for Online Products. An Investigation Study on Secured Data Storage and Access Control in Cloud Environment. pp. 241-250.

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Abstract

Abstract Cloud computing is surroundings for imparting the information and
resources which might be brought as the service to an end users over Internet on
call for. Cloud allowed the users to get way into their stored information from any
environmental places at any time. Cloud comprised of the key problems like safety,
data confidentiality, network dependency and centralization. When storing the client

sensitive information into cloud data storage, security plays an essential part. Provid-
ing the security to sensitive information is a key issue in cloud computing. In existingworks, numerous methods were introduced for securely storing data into the cloud.
But, the security level was not improved, and data accessing time was not reduced.Our research work concentrated on the cryptographic and data structure techniques
for solving the existing problems during cloud storage and data access.

Item Type: Article
Subjects: Computer Science > Design and Analysis of Algorithm
Divisions: Computer Science
Depositing User: Mr IR Admin
Date Deposited: 11 Sep 2024 08:53
Last Modified: 11 Sep 2024 08:53
URI: https://ir.vistas.ac.in/id/eprint/5564

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