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

doi:10.23940/ijpe.19.06.p20.16921701

Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (6): 1692-1701.doi: 10.23940/ijpe.19.06.p20.16921701

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

Ge Jiao^a,b,*, Lang Li^a,b, and Yi Zou^a,b

a College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China
b Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China

Submitted on ;
Contact: * E-mail address: jiaoge@126.com
Supported by:
This work is partly supported by the Science and Technology Plan Project of Hunan Province (2016TP1020), the Open Fund Project of Hunan Provincial Key Laboratory of Intelligent Information Processing and Application for Hengyang Normal University (IIPA18K03), the Hunan Provincial Natural Science Foundation of China (Grant No. 2017JJ2010, 2017JJ4001), the Scientific Research Fund of Hunan Provincial Education Department (Grant No. 16B039), the Application-oriented Special Disciplines, and the Double First-Class University Project of Hunan Province(Xiangjiaotong [2018] 469).

Abstract

Abstract: 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.

Key words: IFOA, ABC, mobile cloud computing, system security, algorithm improvement, task scheduling

Ge Jiao, Lang Li, and Yi Zou. Improved Security for Android System based on Multi-Chaotic Maps using a Novel Image Encryption Algorithm [J]. Int J Performability Eng, 2019, 15(6): 1692-1701.

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

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