Design And Implementation Of Privacy Data Forensic System For Mobile Device

With the continuous development of communication technology,mobile intelligent terminal is widely used in people's life and work.A large number of personal information and private data are stored in mobile intelligent terminals.At the same time,for criminal high-tech crimes using intelligent device of mobile intelligent terminal rate gradually increased.The research of forensic technology for mobile intelligent terminal has great significance for guaranteeing the information security of the mobile Internet environment,maintaining network security and reducing people's property losses.It has social value and scientific research value.There is a very urgent application demand of the mobile intelligent terminal forensics analysis technology,but the evidence research of mobile intelligent terminal mainly in the data extraction and data recovery,this paper aims to study the related forensic data analysis,reduce unnecessary human consumption in order to improve the forensic work efficiency,and complete the design and implementation of a system data privacy of mobile intelligent terminal forensics analysis,realizes the data acquisition,data recovery and data analysis.Firstly,this paper introduces the current situation of mobile phone forensics at home and abroad,and analyzes the current situation and development trend of mobile phone forensics.This paper introduces the structure and characteristics of Android operating system,and studies the storage mechanism and data type of file in Android system.And then this paper put forward a multi class classification algorithm of SVDD text classification based on the study of various kinds of mobile intelligent terminal information in the data,and through a lot of experiments based on multi class classification algorithm of SVDD text is multi class classification method with good classification effect and reliable verification.This paper also presents an analysis of mobile intelligent terminal privacy data visualization based on SNA,the investigators can see electronic evidence after visualization,the mobile intelligent terminal network data model,and proposed an improved algorithm for the layout of the mobile intelligent terminal privacy data network according to the characteristics of the mobile intelligent terminal network data model.The experiment and compile,prove that the algorithm is stable and easy to implement.Through the method of mobile intelligent terminal evidence visualization,the correlation relation between users can be displayed visually and visually,and the latent evidence can be found and the difficulty of forensics can be reduced.Finally,according to the basic framework of mobile intelligent terminal and acquisition technology of mobile phone forensics algorithm SNA and visual evidence based on the related data,the design and implementation of a data privacy analysis system of mobile intelligent terminal forensics,mobile intelligent terminal system Android platform to support the automatic data extraction analysis.