Читать книгу Deep Learning Approaches to Cloud Security - Группа авторов - Страница 39

In Cloud Computing with a Multi-Tenancy system, privacy and security are very complicated and valuable. These concepts are important because it is a responsibility to provide privacy and security to the unique architecture of cloud computing and multi-tenant systems. The data must be correct, durable, and secure. Every tenant wants to work in a secure environment; this helps create a good and graceful environment for the work place. Every tenant wants security and privacy to be maintained for database transactions in the cloud environment. If this requirement is not fulfilled, the tenant will work for longer durations and the ability for work will reduce, so privacy and security are two factors which decide the future of that structure. Using the Deep Learning concept, we work on the privacy and security areas of Multi-Tenancy systems making them more secure for both physical and logical separation and also provide a great privacy platform to work free from any worry about security. With the help of Deep Learning, the Multi-Tenant system makes things more secure and privacy policies more stable to work with and secures the future safety of the database used by different tenants of the same organisation. Using the Deep Learning concept provides mechanisms to make privacy architecture to enhance the security level of privacy policies. Data is secure on the front and back ends, so the isolation of data is protected at both ends and is safe for future use by the tenant. It is sophisticated and necessary for the privacy and security of each face of a cloud based Multi-Tenant system to maintain no loss of data for the durability and safe side of a system.