Fuzzy ART-based user behavior trust in cloud computing

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Abstract

Nowadays, cloud has evolving rapidly for more scientific applications and communication across millions of people. It shares the resources which are available on-demand to the user as they needed. The virtual machines which resides the cloud resources can be shared by entire cloud environment and can easily be prone to attacks and threats. In this growing concern, ensuring the trust of virtual machines plays a major role in cloud computing environment. One of the most important evolving concerns is that the virtual client’s perspective data or resources are hacked by the attackers easily. To overcome this behavior, we proposed a fuzzy logic technique called Fuzzy ART, where the consumption of resources is periodically scanned. Based on the traced-out behaviors, the virtual machine states are classified into categories from stable to attackers. The benefit of the proposed technique is an unsupervised learning.

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Jaiganesh, M., Aarthi, M., & Vincent Antony Kumar, A. (2015). Fuzzy ART-based user behavior trust in cloud computing. In Advances in Intelligent Systems and Computing (Vol. 324, pp. 341–348). Springer Verlag. https://doi.org/10.1007/978-81-322-2126-5_38

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