Secured Authentication Using ECC Based Fractal Fuzzy in Cloud
Keywords:
Fractal Fuzzy Model, Elliptic Curve Cryptography, Authentication, Distributed Cloud SystemsAbstract
In this paper, the study uses a novel design of the fractal fuzzy model in devising the secured authentication process via Elliptic Curve Cryptography (ECC). This model assists in improving the process of authentication in distributed cloud systems. The study uses attributed based data segregation that is developed using the preference of the data owners or users. Here, the priority is offered to sensitive data rather than non-sensitive data. After the grouping of the sensitive information based on the attribute, these subgroups are encrypted via group keys. Such encrypted information is then merged with the attributes that are of a non-sensitive type and then it is uploaded to the distributed cloud environment. The simulation is conducted in a cloudsim simulator to test the efficacy of the model against various types of attacks. The results of the simulation show that the proposed model performs with minimal computational complexity, storage space and processing time than the existing authentication models. Further, it offers an increased rate of security over sensitive and non-sensitive information than other methods.
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