The Key Techniques Of Android Terminal Location Forensics

With the rapid development of communication technology, intelligent mobile phone becomes more and more important, fraud and other criminal activities using a smart phone is increasing,mobile phone forensics becomes emerging issues, the importance of location information in smartphones has caused wide public concern, but there is still no research both at home and abroad about intelligent terminal location information forensics. This thesis studied the storage conditions and rules of Android mobile phone location information on the basis of domestic and foreign research of mobile phone forensics.This thesis is designing a forensics software to get location information from Android mobile phone. The thesis summarized all kinds of the storage and the rule of geographic position information in Android phones, and also successfully displayed in the terminal software forensics. And, this thesis proposes a method to calculate the similarity of users based on the geographic location data that obtained from the evidence, which is of great significance to the analysis of the user's social relationship.The main research contents are as follows:1?All geographic information in the smart mobile phone is roughly divided into multimedia, navigation, social activities, browsers and so on. For all kinds of application with geographic information,this paper conducted a comprehensive inquiry and finded the corresponding data structure.The main four types of information we acquired are account information, location information, searching information and travelling information.2?This paper has a detail description for the forensics software based on Android. Design idea of the forensic software, the function of system and the structure are introduced in detail. The geographical position parsing module is important and is introduced in detail. This paper expounds the parsing process of Location-based services by example.3?According to the location information, a new algorithm based on geographic location similarity algorithm is proposed. In this paper, we classify the forensic data based on the feature into the location information and travelling information. According to the location information proposes a algorithm based on the similarity of vector space.In this paper,we deal with geographic location points of interest by different layered, according to the similarity of sigature by users,we measure customer intimacy. It has the principle that user's travelling path is positive correlation with intimacy. In this paper, the sub-sequence of the sequences of user's behavior is used to detect user behavior similar tracks and varify the closeness of the basic user authentication. Finally, we tested and verified the correctness of the two algorithms.