Cloud data protection using weibull distributed recurrent neural ergodic signcryption (Record no. 22711)

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control field 20250424142119.0
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fixed length control field 250424b xxu||||| |||| 00| 0 eng d
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Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 25980
Author Mala, J.
245 ## - TITLE STATEMENT
Title Cloud data protection using weibull distributed recurrent neural ergodic signcryption
250 ## - EDITION STATEMENT
Volume, Issue number Vol.15(2), Oct
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Chennai
Name of publisher, distributor, etc. ICT Academy
Year 2024
300 ## - PHYSICAL DESCRIPTION
Pagination 3497-3504p.
520 ## - SUMMARY, ETC.
Summary, etc. Cloud computing has become an integral part of modern computing,<br/>offering scalable storage and processing resources. However, the<br/>security of data stored in the cloud remains a major concern, especially<br/>when dealing with sensitive information. Traditional encryption<br/>schemes, while effective, often face limitations in terms of<br/>computational overhead and vulnerability to advanced attacks. To<br/>address these challenges, we propose a novel Weibull Distributed<br/>Recurrent Neural Ergodic Skewed Certificateless Signcryption scheme<br/>aimed at enhancing data protection in cloud environments. The key<br/>problem addressed by this work is the inherent inefficiency of existing<br/>cryptographic solutions that either rely on certificate-based systems or<br/>suffer from high computational and communication costs. This is<br/>especially crucial in cloud systems where real-time data processing is<br/>essential. Our approach integrates Weibull distribution for key<br/>management and optimization, recurrent neural networks (RNNs) for<br/>secure data transmission prediction, and ergodic skewed signcryption<br/>to eliminate the need for certificate authorities. This results in improved<br/>security, reduced computational overhead, and efficient<br/>communication, ensuring that the data remains secure even in dynamic<br/>cloud environments. The proposed scheme was tested using various<br/>metrics, including encryption/decryption time, data throughput, and<br/>attack resistance. Results demonstrate a significant reduction in<br/>computational cost by approximately 28% compared to traditional<br/>certificateless encryption. Furthermore, encryption times decreased<br/>from an average of 1.8 ms to 1.2 ms, and the scheme showed robustness<br/>against man-in-the-middle and chosen-ciphertext attacks with a<br/>detection accuracy of 98.6%. These results confirm the efficacy of the<br/>proposed system for enhancing security in cloud computing<br/>environments while maintaining high performance.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4622
Topical term or geographic name entry element Computer Engineering
773 0# - HOST ITEM ENTRY
Place, publisher, and date of publication Chennai ICT Academy
Title ICTACT Journal on Soft Computing (IJSC)
856 ## - ELECTRONIC LOCATION AND ACCESS
URL https://ictactjournals.in/paper/IJSC_Vol_15_Iss_2_Paper_4_3497_3504.pdf
Link text Click here
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Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Articles Abstract Database
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    Dewey Decimal Classification     School of Engineering & Technology School of Engineering & Technology Archieval Section 24/04/2025   2025-0660 24/04/2025 24/04/2025 Articles Abstract Database
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