An Automatically Filtering Blacklist Model of Social Network Based on Semantic Web  

作　　者：Le Ha Guo-Zi Sun 

机构地区：[1]College of Computer,Nanjing University of Posts & Telecommunications [2]Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

出　　处：《Journal of Harbin Institute of Technology(New Series)》2014年第6期67-73,共7页哈尔滨工业大学学报（英文版）

基　　金：Sponsored by the National Natural Science Foundation of China(Grant No.61373006);the Foundation of Nanjing University of Posts and Telecommunications(Grant No.NY212059);the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)

摘　　要：According to the features of the semantic web technology,it is very suitable to solve the security issue of the current social network environment.Firstly,in this paper,it extends the existing ontology model of the social network with some relevant classes,and introduces a brand new ontology which is used to represent the malicious information.After introducing these models,a method of identifying the malicious message is raised.Finally,the experiments and simulations analyze the feasibility of the whole system.The results validate that the malicious users can be automatically filtered,and some worthy digital evidence can be effectively provided to forensic investigators.According to the features of the semantic web technology,it is very suitable to solve the security issue of the current social network environment.Firstly,in this paper,it extends the existing ontology model of the social network with some relevant classes,and introduces a brand new ontology which is used to represent the malicious information.After introducing these models,a method of identifying the malicious message is raised.Finally,the experiments and simulations analyze the feasibility of the whole system.The results validate that the malicious users can be automatically filtered,and some worthy digital evidence can be effectively provided to forensic investigators.

关 键 词：social network semantic web ONTOLOGY OWL digital evidence 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]