Protecting data in cloud environment from intruders using fog computing mechanism and control flows

摘要

Protecting data from masquerades in cloud environment has become imperative. Data is categorized into two types i.e., normal data and critical data. There are standard security techniques that take care of identifying the valid user and allowing access to system data. Even though there are in place strong cryptographic techniques, hackers may trespass and enter the system using some users valid credentials and try access the critical data of the system. The challenge we face in this situation is, even if hacker get access to the system he/she must be limited to access the data. This can be achieved by giving access false data which will be similar to the original data. Deviate the user from normal events is done by streamlining the pattern or behavior of the users and protecting critical data from being accessed by intruders. The job of Cloud service providers is limited only to provide secure network and storage space; it is up to the organization to take preventive measures to secure the system at different levels such as authentication and authorization. Organizations need to add additional mechanism to ensure strong authentication and authorization process from their end. In this paper we have proposed framework to deal with protection of data in cloud applications, by applying the concept of fog computing and control flows to ensure strong authentication and authorization process and data protection.