A Survey Analysis of Various Data Security Algorithms for Enhanced Cipher Logics

Registration ID: IJNRD_183789

Published ID: IJNRD2211055

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M.Baskar

Big Data, Cipher encryption, Data Security, Security Frameworks, Survey Analysis

In the era of Information and Communication Technology, there has been enormous data transfer across various platforms. In real time business analytics, the assortment of data on every granular level becomes inevitable. All state of art current software store and process massive volume of data in the real time applications. In such enormous data communication, it becomes inevitable to secure the data against swelling intimidations of breaches and leakage. The data protection against external intruders and internal malwares can be effectively incorporated using various cipher strategic frameworks and algorithms with enhanced cipher logics. In the paper, the contemporary data security scenario using the innovative and efficient security frameworks and cipher algorithms are discussed. Analysis carry-out is processed for the selective deep learning algorithms with the compatible features and limitations. Also, the comparison of various methods of frameworks to provide improved protection against hackers and intruders along with their algorithm techniques are presented to resolve the current and future security concerns.

Published Paper   E-Certificate

M.Baskar (November-2022). A Survey Analysis of Various Data Security Algorithms for Enhanced Cipher Logics. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(11), a499-a506. https://ijnrd.org/papers/IJNRD2211055.pdf

Volume 7 Issue 11, November-2022

Pages : a499-a506

Paper Reg. ID: IJNRD_183789

Published Paper Id: IJNRD2211055

Downloads: 000121986

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: Madurai, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2211055.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2211055

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