The Design And Implementation Of IOS Platform Digital Forensics System

In the rapid development of intelligent mobile today,people are increasingly inseparable from the smartphone,whether it is social,mobile payment,or new media,mobile games,smart phones in all aspects have huge impact on people.And the use of smart phones for electronic fraud,theft of personal information and other new criminal activities are emerging,in digital forensics,mobile digital forensics has become more and more widespread concern,the use of mobile digital forensics system to obtain the criminal suspect's electronic evidence has become very important.iPhone Since the listing has been the market vane,with a large number of users,the application of the iOS platform is also rich and diverse,and because of the different software ecology,foreign mobile digital forensics equipment can not fully support the analysis of some domestic applications.Therefore,the research on the digital forensics system of iOS platform is very important.In this paper,the mobile Digital forensics system is designed and implemented for iOS system equipment.This paper analyzes the present situation of digital forensics at home and abroad,introduces the background knowledge of this system,designs the overall structure of the system and designs the main functions,including data acquisition system and analysis system.For data acquisition system,the system architecture is extensible,the acquisition technology based on usbmuxd and iTunes is analyzed,and for the analysis system the architecture is based on Factory,the way how applications storage the data under iOS is analyzed and Wechat and QQ are taked for examples.In this paper,the weighted naive Bayes algorithm is used to separate the contacts according to the intimate degree,the statistic of the key data is made and the report is intuitive and concise.By testing the actual data from iOS equipments,the system can take out the data,make corresponding analysis and present it in a concise way,it has met the needs of digital forensics for criminal investigation and is significant for iOS forensics.