A hybrid machine learning model with self-improved optimization algorithm for trust and privacy preservation in cloud environment

A hybrid machine learning model with self-improved optimization algorithm for trust and privacy preservation in cloud environment

Abstract The rapid adoption of cloud-based data sharing is transforming collaboration across various sectors, yet ensuring trust and privacy in sensitive data remains a critical challenge. This paper presents a hybrid model aimed at enhancing data privacy and trust in cloud environments, specificall...

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Bibliographic Details
Main Authors: Himani Saini, Gopal Singh, Sandeep Dalal, Iyyappan Moorthi, Sultan Mesfer Aldossary, Nasratullah Nuristani, Arshad Hashmi
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Time-aware modified best fit decreasing (T-MBFD)
Resource allocation
Privacy preservation
Trust generation
State-of-the-art algorithms
Online Access:https://doi.org/10.1186/s13677-024-00717-6
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https://doi.org/10.1186/s13677-024-00717-6

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