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Improved Security for Android System based on Multi-Chaotic Maps using a Novel Image Encryption Algorithm

Volume 15, Number 6, June 2019, pp. 1692-1701
DOI: 10.23940/ijpe.19.06.p20.16921701

Ge Jiaoa,b, Lang Lia,b, and Yi Zoua,b
aCollege of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China
bHunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China


(Submitted on March 20, 2019; Revised on April 12, 2019; Accepted on June 16, 2019)


Aimed at the unsatisfactory effect of security in mobile cloud computing, we propose a novel image encryption algorithm by using the Improved Fruit Fly Optimization Algorithm -- Artificial Bee Colony (hereafter referred to as IFOA-ABC). First, the feature of task scheduling function in mobile cloud computing is described to set up the task scheduling function; second, the population of fruit fly optimization algorithm is initialized by using orthogonal array and quantitative techniques, and the boundary of fruit fly optimization algorithm is processed, the step size in search is adjusted dynamically, and the artificial bee colony algorithm is used to help fruit fly optimization algorithm develop the global optimal solution; in the simulation experiment, the IFOA-ABC algorithm has obvious advantages over other intelligent algorithms in the comparison of four indicators of mobile cloud task scheduling, which means that the proposed algorithm can effectively improve the privacy and efficiency of cloud computing scheduling.


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