Privacy Preserving Encryption with Optimal Key Generation Technique on Deduplication for Cloud Computing Environment

Cloud computing performs a significant part in sharing resources and data with other devices via data outsourcing. The data collaboration services, as a potential service given by the cloud service provider (CSP), is to assist the consistency and availability of the shared data amongst users. At the...

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Veröffentlicht in:2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) S. 464 - 470
Hauptverfasser: Polepaka, Sanjeeva, Gayathri, B, Ayoub, Shahnawaz, Sharma, Himanshu, Moudgil, Yudhveer Singh, Kannan, S
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 13.12.2022
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Abstract Cloud computing performs a significant part in sharing resources and data with other devices via data outsourcing. The data collaboration services, as a potential service given by the cloud service provider (CSP), is to assist the consistency and availability of the shared data amongst users. At the time of sharing resources, it is a complicated process for providing secure writing and access control operations. This study develops a Privacy Preserving Encryption with Optimal Key Generation Technique (PPE-OKGT) for CC environment. The presented PPE-OKGT technique secures the data prior to storing in the cloud sever via encryption process. For accomplishing this, the presented PPE-OKGT technique employs data encryption technology to secure the input data into a hidden format. Besides, in order to improve secrecy, the presented PPE-OKGT technique designs a chaotic search and rescue optimization (CSRO) algorithm for optimal generation of keys. The promising performance of the PPE-OKGT technique can be verified using a set of experimentations. A comprehensive comparison study reported the enhancements of the PPE-OKGT technique over other models.
AbstractList Cloud computing performs a significant part in sharing resources and data with other devices via data outsourcing. The data collaboration services, as a potential service given by the cloud service provider (CSP), is to assist the consistency and availability of the shared data amongst users. At the time of sharing resources, it is a complicated process for providing secure writing and access control operations. This study develops a Privacy Preserving Encryption with Optimal Key Generation Technique (PPE-OKGT) for CC environment. The presented PPE-OKGT technique secures the data prior to storing in the cloud sever via encryption process. For accomplishing this, the presented PPE-OKGT technique employs data encryption technology to secure the input data into a hidden format. Besides, in order to improve secrecy, the presented PPE-OKGT technique designs a chaotic search and rescue optimization (CSRO) algorithm for optimal generation of keys. The promising performance of the PPE-OKGT technique can be verified using a set of experimentations. A comprehensive comparison study reported the enhancements of the PPE-OKGT technique over other models.
Author Moudgil, Yudhveer Singh
Ayoub, Shahnawaz
Sharma, Himanshu
Polepaka, Sanjeeva
Gayathri, B
Kannan, S
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  surname: Polepaka
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  givenname: Himanshu
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  organization: Malla Reddy College of Engineering,Department of Computer Science and Engineering,Hyderabad
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Snippet Cloud computing performs a significant part in sharing resources and data with other devices via data outsourcing. The data collaboration services, as a...
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SubjectTerms Cloud computing
Computational modeling
Data security
Encryption
Key generation
Performance evaluation
Privacy
Process control
Renewable energy sources
Secrecy
Writing
Title Privacy Preserving Encryption with Optimal Key Generation Technique on Deduplication for Cloud Computing Environment
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