MACHINE LEARNING ASSISTED CLOUD STORAGE IN MULTI-CLOUD PLATFORMS FOR DATA OFFLOADING PROCESS
Abstract
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In recent years, abstract cloud computing has become critical, and the security issues associated with the cloud paradigm are increasing. In order to audit the risks associated with cloud protection, the current networks use an independent authentication mechanism or personal search. In order to perform this report, the data holders must be online. This article explores a new approach for personal auditing that is enabled by one time password (OTP). The records can be protected against the user of theft using this OTP generation/creation technique. The machine learning algorithm Reverse Data Encryption Standard supports the owner to download the file. The files are converted and stored in separate cloud instances into smaller computers. For better protection in various circumstances the files as well as the content will be encrypted and saved in the cloud server. This authentication method will prevent the error user from hacking at the cloud end. The OTP is created and propelled to the user when the download takes place. This OTP must be used to search the user before the appropriate files are downloaded.

Authors
V Divya
Vivekanandha College of Engineering for Women, India

Keywords
Cloud Computing, Security Issues, Secret key, Machine learning
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Published By :
ICTACT
Published In :
ICTACT Journal on Data Science and Machine Learning
( Volume: 1 , Issue: 4 , Pages: 124-127 )
Date of Publication :
September 2020
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188
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