Protecting data from masquerades using control flows

Abstract

Protecting data from intruders and hackers in cloud computing environment has become imperative. There are standard security techniques that take care of identifying the valid user. Even though there are in place strong cryptographic techniques, hackers may trespass and enter the system using some user credentials. Hacker can then have access to the system and the data present in it. 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 done by streamlining the pattern or behavior of the users and protecting critical data from being accessed by hackers and intruders. Cloud service providers can provide high level of security at authentication level, not at authorization level. 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 privacy in cloud applications, by using customized control flows to ensuring strong authentication and authorization process.