Research Article
A System for Privacy Information Analysis and Safety Assessment of iOS Applications
@INPROCEEDINGS{10.1007/978-3-319-23802-9_31, author={Bin Li and Zhijie Feng}, title={A System for Privacy Information Analysis and Safety Assessment of iOS Applications}, proceedings={International Conference on Security and Privacy in Communication Networks. 10th International ICST Conference, SecureComm 2014, Beijing, China, September 24-26, 2014, Revised Selected Papers, Part II}, proceedings_a={SECURECOMM}, year={2015}, month={12}, keywords={iOS Privacy leak Dynamic analysis Security level}, doi={10.1007/978-3-319-23802-9_31} }- Bin Li
Zhijie Feng
Year: 2015
A System for Privacy Information Analysis and Safety Assessment of iOS Applications
SECURECOMM
Springer
DOI: 10.1007/978-3-319-23802-9_31
Abstract
As the intelligent mobile phone stores more and more users’ privacy information, the privacy information security in mobile terminal has become more and more important to mobile users. So how to protect the sensitive information of mobile phone users has become the focus of research in recent years. This paper analyzed the security mechanism of iOS platform and security status and development of iOS Apps, and then proposed a scheme–iOS software sensitive information analysis and security assessment system, for detection of iOS analysis software of leaking sensitive information. The system is used to detect whether APPs in iOS platform is revealing user privacy data, and make evaluation of safety grade according to the severity of privacy disclosure of APPs. We give an evaluation algorithm about security level for evaluating the severity of APPs. This system is the overall solution of the iOS application software acquisition, privacy leak detection and security assessment.
