A Secure Data Classification Model for achieving Data Confidentiality - Kaur, Kulwinder
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The research involves exploring various security issues in the cloud environment at with respect to three aspects confidentiality, integrity and availability and analyzes their impacts. The research proposes secure authentication in the cloud computing using image sequencing passwords. Then a secure data classification model using novel boosting supervised machine learning approach. In this, data is classified according to its sensitivity level. Then encrypting only, the data which is required to be secure using a hybrid privacy preserving based image steganography technique in order to reduce…mehr

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Produktbeschreibung
The research involves exploring various security issues in the cloud environment at with respect to three aspects confidentiality, integrity and availability and analyzes their impacts. The research proposes secure authentication in the cloud computing using image sequencing passwords. Then a secure data classification model using novel boosting supervised machine learning approach. In this, data is classified according to its sensitivity level. Then encrypting only, the data which is required to be secure using a hybrid privacy preserving based image steganography technique in order to reduce the data hiding time and ensure the integrity and confidentiality of data using Hashing approach.
Autorenporträt
I have completed Btech in Computer Science and Engineering from LPU in 2012 And completed MTech in Computer Science from SVIET.Major areas of interest are Cloud Computing, Data Mining, and Software Engineering. I have 5 publications in reputed journals. Currently working as a Research Engineer and exploring various new research in cloud Computing.