Paper
3 December 2015 Data threats analysis and prevention on iOS platform
Bo Gao, Yi Wang, Zhou Chen, Jiqiang Tang
Author Affiliations +
Proceedings Volume 9794, Sixth International Conference on Electronics and Information Engineering; 97942J (2015) https://doi.org/10.1117/12.2203437
Event: Sixth International Conference on Electronics and Information Engineering, 2015, Dalian, China
Abstract
Background: The rapid growth of mobile internet has driven the rapid popularity of smart mobiles. iOS device is chosen by more and more people for its humanity, stability and excellent industrial design, and the data security problem that followed it has gradually attracted the researchers’ attention.
Method & Result: This thesis focuses on the analysis of current situation of data security on iOS platform, from both security mechanism and data risk, and proposes countermeasures.
Conclusion: From practical work, many problems of data security mechanism on iOS platform still exist. At present, the problem of malicious software towards iOS system has not been severe, but how to ensure the security of data on iOS platform will inevitably become one of the directions for our further study.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bo Gao, Yi Wang, Zhou Chen, and Jiqiang Tang "Data threats analysis and prevention on iOS platform", Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97942J (3 December 2015); https://doi.org/10.1117/12.2203437
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Information operations

Computer security

Data backup

Data modeling

Sensors

Image sensors

Network security

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