Research And Implementation Of Key Technologies For Mobile Forensic

With the rapid development of science technology,mobile phones,as an important embodiment,are getting more and more functional and become a must of our life.We use mobile phones to communicate,to interact and to surf the Internet.Due to their great convenience,some criminals also use mobile phones to conduct illegal activities,turning them into the basic equipment of high-tech crimes.This paper provides a new thought for mobile phone evidence collection.Since most of the current mobile phone evidence-collecting software is designed by foreign companies,there may exist some incompatible problems.The paper aims to design and develop a more easy-to-use software system.Based on a great many analyses and researches on both Chinese and foreign software,the system is developed by Java,Android,SQList database.At the same time,the method of text classification and Algorithm of Support Vector Machine(SVM)are applied for the classification and extraction of text data;so are the data mining and the dynamic analysis of stored information in mobile phones in order to collect evidence automatically.In practice,SVM enables the system to classify the evidence and to change linearly non-separable problems to linearly separable problems,making the available data more clear.The system contains five functions:evidence collection management,data recovery,application data acquisition,data management and system setting.It can verify the accuracy of the collected evidence through systematic tests.At present,the system has made possible the automatic extraction of key words from mobile phones,which enables users to obtain the stored electronic data.The software is very much practical and can be potentially used in public security organs,procuratorial organs and courts.