Enhancing mobile data security using red panda optimized approach with chaotic fuzzy encryption in mobile cloud computing

Abstract

Smartphone devices have occupied an indispensable place in human life. These devices have some restrictions, like short lifetime of battery, imperfect computation power, less memory size and unpredictable network connectivity. Hence, a number of methods previously presented to decrease these restrictions as well as increase the battery lifespan with the help of offloading strategy. This manuscript proposes a new enhancing mobile data security using red panda optimized approach with chaotic fuzzy encryption in mobile cloud computing (RPO-CFE-SMC) to offload intensive computation tasks from mobile device to the cloud. The proposed model utilizes a red panda optimization algorithm (RPOA) to scale dynamically the offloading decision under energy consumption, CPU utilization, execution time, memory usage parameters. Before the work is transferred to the cloud, an innovative security layer is applied for encrypting the data using AES chaotic fuzzy encryption (CFE) technology. The proposed RPO-CFE-SMC method provides 20.63%, 25.25%, 25.28%, and 32.47% lower encryption time and 23.66%, 24.25%, and 26.47% lower energy consumption compared with existing EFFORT-SMC, EESH-SMC, and CP-ABE-SMC models respectively. In conclusion, the simulation results prove that the improved efficiency of proposed model in offloading computation to the cloud with enhanced data protection using chaotic fuzzy encryption.