Dynamic Cloud Access Security Broker Using Artificial Intelligence

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Abstract

The Cloud technology is now a key component in almost every computing system. It is most widely used in commercial fields. Cloud storage can store almost any type of data. Thus the security of the cloud component is now a major issue. With the increasing amount of cloud users with various different types of requests, the threats faced by the platform are also changing. There is no static threat in the current scenario and thus the need for dynamic security access. This paper deals with this new type of threat which deals with several different constraints and threat levels to come out with an answer to either give access or not, to the cloud perimeter. This paper deals with the very first security layer of the cloud parameter and enhances its performance using the latest artificial intelligence technologies, neural network algorithms and helps in restricting data breach or unauthorized access in a very early stage, preventing an organization or the cloud vendor from huge data losses. The access granted is all labeled and can be further used for taking intelligent decisions to make the parameter more secured. This will have its application across a wide domain of systems and will help in safely storing data anywhere across any cloud platform.