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

作     者：Le Ha Guo-Zi Sun 

作者机构：College of ComputerNanjing University of Posts & Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks 

出 版 物：《Journal of Harbin Institute of Technology(New Series)》 (哈尔滨工业大学学报（英文版）)

年 卷 期：2014年第21卷第6期

页      面：67-73页

核心收录：

学科分类：0810[工学-信息与通信工程] 081203[工学-计算机应用技术] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

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) 

主　　题：social network semantic web ontology OWL digital evidence 

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 ***,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 *** introducing these models,a method of identifying the malicious message is ***,the experiments and simulations analyze the feasibility of the whole *** results validate that the malicious users can be automatically filtered,and some worthy digital evidence can be effectively provided to forensic investigators.