The tremendous growth of computational clouds has attracted and enabled intensive computation on resource-constrained client\ndevices. Predominantly, smart mobiles are enabled to deploy data and computational intensive applications by leveraging on the\ndemand service model of remote data centres. However, outsourcing personal and confidential data to the remote data servers is\nchallenging for the reason of new issues involved in data privacy and security. Therefore, the traditional advanced encryption\nstandard (AES) algorithm needs to be enhanced in order to cope with the emerging security threats in the cloud environment. This\nresearch presents a framework with key features including enhanced security and ownerâ??s data privacy. It modifies the 128 AES\nalgorithm to increase the speed of the encryption process, 1000 blocks per second, by the double round key feature. However,\ntraditionally, there is a single round key with 800 blocks per second. The proposed algorithm involves less power consumption,\nbetter load balancing, and enhanced trust and resource management on the network. The proposed framework includes deployment\nof AES with 16, 32, 64, and 128 plain text bytes. Simulation results are visualized in a way that depicts suitability of the\nalgorithm while achieving particular quality attributes. Results show that the proposed framework minimizes energy consumption\nby 14.43%, network usage by 11.53%, and delay by 15.67%. Hence, the proposed framework enhances security, minimizes\nresource utilization, and reduces delay while deploying services of computational clouds.
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