Lightweight Optimal Technique for Auditable Secure Cloud Using Hybrid Artificial Intelligence

Authors

  • Ranadeep Reddy Palle  

Keywords:

Cloud Security, Cloud Computing, Constraints Optimization, Data Dynamics, Hybrid, Artificial Intelligent

Abstract

In the era of big data, the exponential growth of data poses significant challenges for storage, leading many entities to migrate their data to cloud storage services. While cloud storage offers numerous advantages, it also introduces substantial risks, including the potential loss or unauthorized modification of data by service providers. The extensive data gathered in the cloud, originating from various datasets and storage devices necessitates a thorough analysis of storage performance. Each data instance is defined by specific features, while devices are characterized by their hardware or software components. General restrictions for data allocation and device capacity are also considered. The computation of structural constraints is based on the interactions between cloud-based devices and data instances. In order to address these issues, we introduce a hybrid artificial intelligence approach that is lightweight and ideal for constraint optimization. It focuses on auditable secure cloud storage with dynamic data. Our approach begins with the development of the enhanced electric fish optimization (EEFO) algorithm for constraints optimization to ensure the integrity of data stored in the cloud. To accommodate dynamic data operations, including block modification, insertion, and deletion, we employ the triple tree-seed algorithm (TTSA) to record the location of each data operation within the system. The proposed model's performance is validated, and results are systematically analyzed, compared against existing approaches, demonstrating its effectiveness in appropriately managing cloud data.

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International Journal of Scientific Research in Science and Technology

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Published

2014-01-30

Issue

Volume 1, Issue 1, Year-2007_14

Section

Research Articles

License

Copyright (c) IJSRST

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

How to Cite

[1]
Ranadeep Reddy Palle, " Lightweight Optimal Technique for Auditable Secure Cloud Using Hybrid Artificial Intelligence, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 1, Issue 1, pp.972-988, Year-2007_14.