MACHINE LEARNING APPROACH FOR CRYPTOSYSTEM SUGGESTIN EDUCARE OVER CLOUDS

In the current situation of the pandemic, global organizations are turning toonline functionality to ensure survival and sustainability. The future, eventhough uncertain, holds great promise for the education system being online.Cloudservicesforeducationarethecenterofthisresearchworkastheyrequiresecurity and privacy. The sensitive information about the users and the institu-tions need to be protected from all interested third parties. However since thedata delivery on any of the online educare systems is always time sensitive, thecryptosystems have to be fast. In previous works some of the algorithms wereexplored and statistical inference based decision was presented. In this work amachine learning system is designed to make that decision based on data typeand time requirements.