Article: Secured big data storage in cloud by intelligent authentication and privacy preservation via intelligent deep learning-aided heuristic strategy Journal: International Journal of Simulation and Process Modelling (IJSPM) 2024 Vol.21 No.2 pp.90 - 107 Abstract: This paper is exploring a new way of offering the secure authentication and privacy maintenance of big data over the cloud. It ensures the safeguard of big data using deep learning methods. The biometric information is used for offering secure authentication to the cloud data to avoid malicious entries. The secured key is extracted via encryption, where the modification is done by the PDGCBO algorithm. Extracted key is used for protecting the privacy of cloud data through the CMECHE better than other traditional algorithms regarding performance and security. The computational results show the effectiveness of the developed algorithms in this security framework by optimising the parameters of LSTM and fuzzy network using the PDGCBO algorithm. The experimental validation takes place in order to provide better outcomes when compared with state-of-the-art methods. Inderscience Publishers - linking academia, business and industry through research

Title: Secured big data storage in cloud by intelligent authentication and privacy preservation via intelligent deep learning-aided heuristic strategy

Authors: Calistus Mohandhas Varun; Raphel Pankiras Anto Kumar; Michael Raj Judith Reya; Rangini Murugan

Addresses: R.M.K. Engineering College, Kavaraipettai-601206, Tamil Nadu, India ' St. Xavier's Catholic College of Engineering, Chunkankadai-629003, Tamil Nadu, India ' Saveetha Engineering College (Autonomous), Saveethanagar, Sriperumbadurtaluk, Chennai, Tamil Nadu-602105, India ' Velammal Engineering College, Ambattur Red Hills Rd, Velammal Nagar, Surapet, Chennai, Tamil Nadu 600066, India

Abstract: This paper is exploring a new way of offering the secure authentication and privacy maintenance of big data over the cloud. It ensures the safeguard of big data using deep learning methods. The biometric information is used for offering secure authentication to the cloud data to avoid malicious entries. The secured key is extracted via encryption, where the modification is done by the PDGCBO algorithm. Extracted key is used for protecting the privacy of cloud data through the CMECHE better than other traditional algorithms regarding performance and security. The computational results show the effectiveness of the developed algorithms in this security framework by optimising the parameters of LSTM and fuzzy network using the PDGCBO algorithm. The experimental validation takes place in order to provide better outcomes when compared with state-of-the-art methods.

Keywords: big data; cloud computing; key optimisation; long short-term memory with fuzzy network; cascaded modified elliptic-curve cryptography with homomorphic encryption; probability-based darts game colliding bodies optimisation.

DOI: 10.1504/IJSPM.2024.141986

International Journal of Simulation and Process Modelling, 2024 Vol.21 No.2, pp.90 - 107

Received: 11 Mar 2023
Accepted: 27 Dec 2023
Published online: 04 Oct 2024 *

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Title: Secured big data storage in cloud by intelligent authentication and privacy preservation via intelligent deep learning-aided heuristic strategy

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