Forensics Oriented User Identification In Social Network

People's social activities are closely related to cyberspace,and social network has become an important medium for people to carry out interpersonal communication and realize social participation,as well as an important platform for social public opinion.People can use various services in the network without being restricted by the time and space factors.Due to its characteristics such as subject heterogeneity and identity invisibility,cyberspace not only provide convenient services,but also bring some social security problems which are rumor propagation and cyber crimes caused by anonymous or fake users.By extracting,selecting,integrating and analyzing virtual identity and real identity information of social network users,social network users identity recognition can establish a map between virtual and real identities.Analyzing the association between internet account and real actor and defining responsibilities of real actor for its corresponding account provide an important help for reducing security threats caused by the anonymous and counterfeiters.Therefore,it is of great significance for digital forensics and maintenance of cyberspce order to study identity recognition betweent the virtual account and the real actor.The main work of this thesis goes as follows:Firstly,in order to classify and analyze different online user identification methods based on various identity information,a summary of user identification methods and social network forensics technoloy is made.Processes and ideas of social network forensics is concluded.The scene features of social network is analyzed as big data amount,high noise interference and information complex.By above work,a demand of an efficient subject identity correlation analysis method is found and the necessity of the research of use identification of social network users is discussed with reality.Secondly,on the basis of common user identification technology,a virtual identity correlation identification method suitable for forensics scene is proposed.The proposed method solves some defects of existing methods such as non-enough identification particle,lack of real information and not suitable for forensics scenarios,and combines the text content in social network and users basic identity properties with user identification.In order to verify the proposed method,the corresponding experiments are conducted.Thirdly,the prototype system of social network user identity forensics is designed and implemented.From demand analysis,outline design to detailed design,the system flow,function modules and database design of the prototype system are elaborated.The implement of each functional module of the system is tested by use case and works well.