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An intelligent deep learning LSTM-DM tool for finger vein recognition model USING DSAE classifier

Autor: M. V. Madhusudhan, V. Udayarani, Chetana Hegde

Publikováno v: International Journal of System Assurance Engineering and Management.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::39310a16ffcb2466858ea66c17384d7e
https://doi.org/10.1007/s13198-022-01807-x

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Deep restricted and additive homomorphic ElGamal privacy preservations over big healthcare data

Autor: V. Udayarani, K. Sujatha

Publikováno v: International Journal of Intelligent Computing and Cybernetics. 15:1-16

PurposeThe purpose of this paper is to improve the privacy in healthcare datasets that hold sensitive information. Putting a stop to privacy divulgence and bestowing relevant information to legitimate users are at the same time said to be of differin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5dd9f30a054f49f2aa749c685bd31eed
https://doi.org/10.1108/ijicc-05-2021-0094

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Chaotic geometric data perturbed and ensemble gradient homomorphic privacy preservation over big healthcare data

Autor: K. Sujatha, V. Udayarani

Publikováno v: International Journal of System Assurance Engineering and Management.

Data privacy protection has become a multifaceted function with the inception of advanced data analysis tools and data mining methods. To this end, several privacy preservation methods have been developed in order to safeguard sensitive data concerni

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::26017f9f1e637dbdfc2d3dd374135909
https://doi.org/10.1007/s13198-021-01355-w

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Distinctive Context Sensitive and Hellinger Convolutional Learning for Privacy Preserving of Big Healthcare Data

Autor: Udayarani, Sujatha K

Publikováno v: International Journal of Advanced Computer Science and Applications. 12

The collection and effectiveness of sensitive Big Data have grown with Information Technology (IT) development. While using sensitive Big Data to acquire relevant information, it becomes indispensable that irrelevant sensitive data are reduced to saf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a9a0f2115a5c865ce26158428d5fb1a3
https://doi.org/10.14569/ijacsa.2021.0120344

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Evolutionary tree-based quasi identifier and federated gradient privacy preservations over big healthcare data

Autor: Sujatha Krishna, Udayarani Vinayaka Murthy

Publikováno v: International Journal of Electrical and Computer Engineering (IJECE). 12:903

Big data has remodeled the way organizations supervise, examine and leverage data in any industry. To safeguard sensitive data from public contraventions, several countries investigated this issue and carried out privacy protection mechanism. With th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3b6766f3a3e0716d51c92b4ea6f52a7
https://doi.org/10.11591/ijece.v12i1.pp903-913

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Akademický článek

Evolutionary tree-based quasi identifier and federated gradient privacy preservations over big healthcare data.

Autor: Krishna, Sujatha, Murthy, Udayarani Vinayaka

Publikováno v: International Journal of Electrical & Computer Engineering (2088-8708); Feb2022, Vol. 12 Issue 1, p903-913, 11p

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