Research on malicious behavior detection based on iOS system

Yuliang WANG; Xiaodong CHEN; Tun WU

doi:10.11959/j.issn.1000-0801.2017047

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Research on malicious behavior detection based on iOS system

Special topics:intelligent terminals and network security | 更新时间：2024-06-05

- Research on malicious behavior detection based on iOS system
- Telecommunications Science Vol. 33, Issue 2, Pages: 48-54(2017)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2017047
  CLC： TP309
- Published Online：2017-02，
  
  Published：20 February 2017
- 稿件说明：
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Yuliang WANG, Xiaodong CHEN, Tun WU. Research on malicious behavior detection based on iOS system[J]. Telecommunications science, 2017, 33(2): 48-54.
DOI：

Yuliang WANG, Xiaodong CHEN, Tun WU. Research on malicious behavior detection based on iOS system[J]. Telecommunications science, 2017, 33(2): 48-54. DOI： 10.11959/j.issn.1000-0801.2017047.

摘要

首先列举了多个iOS平台的恶意应用的案例，通过剖析作案手法以及造成的恶劣影响，分析了iOS平台下移动应用的主要恶意行为特征，研究了恶意行为检测过程中的各项关键技术，提出了iOS 应用恶意行为检测的模型。最后，给出了iOS 应用恶意行为检测的解决方案。

Abstract

Firstly

the cases of malicious application of multiple iOS platforms were enumerated.The main malicious behavior of mobile application under iOS platform was analyzed by dissecting the misuse of crime and the bad influence.The key technologies of malicious behavior detection process were studied.The iOS application malicious behavior detection model was put forward.Finally

iOS application malicious behavior detection solution was given.

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Keywords

references

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