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

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成果类型:
期刊论文
作者:
Jiao G.;Li L.;Zou Y.
通讯作者:
Jiao, G.
作者机构:
College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China
Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China
[Jiao G.; Li L.; Zou Y.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China<&wdkj&>Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China
通讯机构:
College of Computer Science and Technology, Hengyang Normal University, Hengyang, China
语种:
英文
关键词:
Android (operating system);Chaotic systems;Cryptography;Fruits;Mobile cloud computing;Mobile security;Multitasking;Optimization;Orthogonal functions;Scheduling algorithms;ABC;Algorithm improvements;Artificial bees;Fly optimization algorithms;Fruitflies;IFOA;Image encryption algorithm;Scheduling functions;System security;Tasks scheduling;Image enhancement
期刊:
International Journal of Performability Engineering
ISSN:
0973-1318
年:
2019
卷:
15
期:
6
页码:
1692-1701
基金类别:
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).
机构署名:
本校为第一且通讯机构
院系归属:
计算机科学与技术学院
摘要:
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 proce...

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