Emotion Aware Multimedia Security using Role Base Access Control in Public Cloud Environment
Pages : 779-782
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Abstract
The development of 5G Innovation has driven the wireless world into not needing obstacles to interconnect. The new technology aims to accomplish several challenging tasks and is designed to provide resource-intensive mobile terminals with more immersive and personalized services. The new 5 G network cloud computing has the ability to overcome this hurdle, allowing resource-intensive connectivity for mobile users through storage enabled by the mobile cloud and large data processing and distribution. In this research, a new platform named EMC in 5 G networks provides emotion-conscious, human-centric services via mobile cloud computing and affective services It is proposed that computation be. With the proposed design, the existing MCC architecture is revised to achieve the necessary Quality of Experience (QoE) in emotion-aware applications. Nevertheless, it brings with it a big challenge to securely obtain enough data to adequately protect the privacy of emotional data for emotional analysis. Tackling the security question, In this paper we propose emotion aware base user behavior in multi cloud environment, this system basically carried out deploy cloud platform with various user platforms where end user can communicate with cloud edge hand perform the transactional activities. The intermediate services can recognize the user behavior according to browsing history and identify the user’s perspective using given machine learning base role based access disease. Implementation of system has done with Aamazon EC2 cloud environment, define the partial results which provides accepted accuracy than classical systems.
Keywords: Security analysis, Access control, Emotion interaction, identity authentication, social robot