PRIVACY PROTECTION FOR STUDENT DATA USING PAILLERS CRYPTOSYSTEM

Abstract

Student applications are considered as promising fields privacy protection of student data, where students can
be monitored using privacy protection of student data. Current student research trends focus on student reliable
communication, student mobility, and energy-efficient routing, as a few examples. However, deploying new technologies
in student applications without considering security makes student privacy vulnerable. Moreover, the physiological data
of an individual are highly sensitive. Therefore, security is a paramount requirement of student applications, especially
in the case of student privacy, if the student has an embarrassing disease. This project discusses the security and privacy
issues in student application using privacy protection of student data. We highlight some popular student projects using
privacy protection of student data, and discuss their security the existing systems solutions can simply protect the student
data during transmission, but cannot protect the inside attack where the administrator of the student database reveals the
sensitive student data. So we are proposing a approach to prevent the inside attack by using multiple data servers to
store student data. The main contribution of this paper is to distribute student’s data securely in multiple data servers
and performing the Paillier cryptosystems to perform statistical analysis on the student data without compromising the
student’s privacy.