INTELLIGENT NO-CODE DATA ANALYTICS PLATFORM WITH SECURE AUTHENTICATION

PyDataInsight Pro : and Big Data Analytics stores a large quantity of data, which provides scalable computing storage, where user does not have any information where his data is stored but user can access the data which is remotely stored in different data centres all over the world. In this paper we discussed the quality of service for secured cloud system model. We focused on the role of Third Party Auditor (TPA) and Intelligence based security system auditing with CIA Triad and AAA security management to protect data in cloud against exploitations, by providing fault tolerance. PyDataInsight Pro : has become prominent of its on-demand network access and scalability that is pay as you use. We concentrated on privacy preserving public auditing procedures and algorithms that support regenerating code based data storage which facilitates the auditing scheme that includes setup, audit and repair. We discussed risks, threats and attacks that prevent the auditor from detecting the data losses and corruption. We focus on evaluating the performance based on time and computational complexity using Testing Tools. We proposed public auditing scheme for regenerating code based data storage. The mathematical approach for regenerating code and auditing procedures are given and construction of dynamic data verification system for auditing scheme is generated and proved.