Abstract :

Cloud Computing Provides Scalable And Flexible Options With Regard To Data Storage And Processing; However, The Major Challenge Is Ensuring Privacy While Efficiently Allocating Resources. This Study Attempted To Present An Approach For Optimizing Resource Allocation Within Cloud Environments Such That Data Privacy And Security Are Paramount. Through The Combination Of State-of-the-art Privacypreserving Techniques With Intelligent Resource Allocation Algorithms, The Proposed Approach Aims At Making A Compromise Between Computation Load, Storage Efficiency, And Confidentiality Requirements. The Framework Considers Minimizing Data Leakage Risks, Preventing Unauthorized Introduction Into Data, And Maintaining System Efficiency Under Different Workload Models. It Uses Dynamic Allocation, Trustbased User Classification, And Secure Segmentation Of Data To Carry Out Privacy-centric Operations. The Experimental Setup Concludes That Performance Remains High With Better Resource Utilization, Low Overheads, And High Data Protection Compared To The Normal Cloud System. This Work Thus Provides A Practical Implementation For Privacy-aware Cloud Service Providers And Users To Ensure Sensitive Information Remains Safe While Dynamically Deploying Resources In An Environment. Keywords: Traditional Marketing, Digital Marketing, Integrated Marketing Communications (IMC), Consumer Behavior, Technological Advancements.

Published:

21-6-2025

Issue:

Vol. 25 No. 6 (2025)

Page Nos:

618-623

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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