Secure Encryption Mechanism for Mental Health Data

Authors

  • Ashutosh Shankhdhar, Vinay Agrawal, Arushi Mangala Sankalp Chaturvedi, Prateeksha Chaturvedi

Abstract

The modernization of data analysis in Mental Health research let to a variety of Analysis on this. Today, wellbeing examination and social insurance produce a consistently expanding measure of information. Making these accessible for auxiliary use cases is basic for proficiency gains in wellbeing research, for example by lessening time-and costs-concentrated obtaining of information. A step towards digitization of mental health research made this data easily available to number of users that includes doctors, patients, researchers, statisticians etc. However, allowing this data to be easily accessible to number of users led to problem of security lacking that is to be handled in a very sophisticated manner. In this whole approach, main motive will revolve center around the finding of security concerns and then giving a suitable privacy preserving data analysis to this, along with security additives. In this study we will try to find out the loopholes of existing solutions to the concern. The researcher will be provided with some definite and accurate solution to the present concern. This paper will include the practical implications as well to give a satisfying solution to this. The main motive of this whole study is to first analyze the data present to the data receiving site and then transmitting that data thorough proper secured channel so as to provide the upgradation to the present data problem.

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Published

2020-05-17

Issue

Section

Articles