Designing and analysis of user profiling system for cloud computing security using fuzzy guided genetic algorithm

On one side the Cloud Computing offers scalable virtual computing resources in the form of web-services on pay-as-you-go basis; but on other side, it also raises the concerns regarding the security threats to the Cloud environment from outside and inside the environment. The existing security systems are not able to withstand the dynamic nature of threats, so some sort of augmentations are required to the existing security systems which will enable the security systems to work in more prominent way. Inter-VM attacks possess such kind of threats from inside the Cloud environment. User profiling can be helpful in this situation by analyzing the usage patterns of the users and by providing the plausible interpretation from those usage patterns to the security system and then, the security system, based on those interpretations, act in reactive and proactive manner to the analyzed threat situation. This paper is the based on the findings from our last paper, where we had found that the designing of User Profiling System based on Artificial Intelligence techniques: Fuzzy and Genetic Algorithms are individually not sufficient to deliver a comprehensive User Profiling System but it might be possible to use these two approaches in a hybrid way to design a comprehensive User Profiling System for Cloud Computing security. Hence, we used hybrid approach Fuzzy guided Genetic Algorithm to design a User Profiling System and found that it covered all the research gaps, which we had analyzed in our previous work and even it fulfill all the seven principles of the evaluating framework.