Design And Implementation Of Security Detection Scheme For IOS Platform

With the rapid development of mobile Internet, mobile intelligent terminals with their powerful features gradually occupy the people's work and life. More and more people store the important information in their mobile phones, resulting in the increasing security threats. iOS system is one of the main operating systems. Although the iOS platform system which relatively complete security mechanism to a certain extent protect the security, there are more and more security threats in the iOS platform software, such as access to device privacy information, malicious deductions and so on. Currently the iOS platform software security detection research is insufficient, the relevant information is also a serious lack of existing research results mainly in the iOS security mechanism research, which did not fonn a set of authoritative iOS platform software detection program.The main work of this paper is based on the analysis of iOS program characteristics and the deep research of security mechanism. Based on the characteristics of iOS software security threat, this paper introduces the relationship between system performance anomaly and software security threat, memory consumption, power consumption, network traffic and user touch events. A method of detecting system performance anomaly based on support vector machine is proposed. By studying the runtime characteristics and hook technology of the Objective-C language, a dynamic detection method is proposed. Locking a number of sensitive behavior API, and then capture and analyze sensitive behavior, while running through the software during the network data analysis to further confirm whether the user's sensitive data is remotely obtained, and ultimately determine the malicious software.In the end, a comprehensive detection scheme is put forward based on the above two methods, and an iOS platform software security detection system is designed and implemented to detect and detect the system performance abnormality and software dynamic detection of iOS platform, and give test reports to verify the entire iOS platform software security detection program feasibility.