Paper Title
Design and Analysis of Attribute based encryption Scheme for cloud security and privacy with machine learning
Article Identifiers
Registration ID: IJNRD_220757
Published ID: IJNRD2406058
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Keywords
Deep Neural Networks, Skin Lesion, Machine Learning.
Abstract
Encrypting shared resources in the cloud with ciphertext attribute-based encryption has shown to be a dependable method for ensuring their security and privacy. Malicious individuals, however, took advantage of weaknesses in sharing systems like master keys and access regulations. Furthermore, the many features of the cloud-based shared resource are utilized in the construction of the access control mechanisms. The computation of the master and secret keys, as well as the encryption and decryption processes, take longer the more characteristics there are. Observations on contributing qualities are a key factor to take into account when creating a machine learning model for improved accountability. In this study, we have presented a novel attribute-based encryption to offer enhanced security and better cloud access control. It would be more efficient to encrypt data at the data owner's cloud server using dynamic features to prevent key leaking. While the secret key is being produced at the proxy server, performance is improved. A good and promising performance is obtained, with the computation time being cut to about half of the existing methods. Additionally, the observations satisfy the necessary accountability requirements.
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How To Cite (APA)
Disha Jamdade , Kalpana Thakre, Swati Shekapure, & Neha Jain (June-2024). Design and Analysis of Attribute based encryption Scheme for cloud security and privacy with machine learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(6), a613-a620. https://ijnrd.org/papers/IJNRD2406058.pdf
Issue
Volume 9 Issue 6, June-2024
Pages : a613-a620
Other Publication Details
Paper Reg. ID: IJNRD_220757
Published Paper Id: IJNRD2406058
Research Area: Engineering
Author Type: Indian Author
Country: Karad, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2406058.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406058
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