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 so...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.展开更多
Purpose:This study was conducted to investigate the current situation of privacy disclosure(in the Chinese social networking sites.Design/methodology/approach:Data analysis was based on profiles of 240 college student...Purpose:This study was conducted to investigate the current situation of privacy disclosure(in the Chinese social networking sites.Design/methodology/approach:Data analysis was based on profiles of 240 college students on Renren.com,a popular college-oriented social networking site in China.Users’ privacy disclosure behaviors were studied and gender difference was analyzed particularly.Correlation analysis was conducted to examine the relationships among evaluation indicators involving user name,image,page visibility,message board visibility,completeness of education information and provision of personal information.Findings:A large amount of personal information was disclosed via social networking sites in China.Greater percentage of male users than female users disclosed their personal information.Furthermore,significantly positive relationships were found among page visibility,message board visibility,completeness of education information and provision of personal information.Research limitations:Subjects were collected from only one social networking website.Meanwhile,our survey involves subjective judgments of user name reliability,category of profile images and completeness of information.Practical implications:This study will be of benefit for college administrators,teachers and librarians to design courses for college students on how to use social networking sites safely.Originality /value:This empirical study is one of the first studies to reveal the current situation of privacy disclosure in the Chinese social networking sites and will help the research community gain a deeper understanding of privacy disclosure in the Chinese social networking sites.展开更多
随着 Web 信息量的快速增长,个性化的 Web 信息推荐系统扮演着越来越重要的角色。目前,大多数 Web 信息推荐系统存在着个性化程度不高,对用户历史数据依赖性高,系统不具备开放性,用户偏好“走样”概率高的问题。针对这四个方面的问题,...随着 Web 信息量的快速增长,个性化的 Web 信息推荐系统扮演着越来越重要的角色。目前,大多数 Web 信息推荐系统存在着个性化程度不高,对用户历史数据依赖性高,系统不具备开放性,用户偏好“走样”概率高的问题。针对这四个方面的问题,本文提出了一种新的、采用语义 Web 技术、基于 Web 社会网络的个性化 Web 信息推荐模型,详细分析了用户偏好的获取,Web 社会网络的生成以及待过滤 Web 信息的采集。并且,利用从实际中采集的真实数据进行了实验,证明了模型的可行性和有效性。展开更多
Web服务技术使开放环境中的大规模应用得到不断发展,服务提供商提供了不计其数的具有相同或类似功能的Web服务,如何选择适合的尤其是可信的Web服务是个难题。目前大多数服务选择机制都设计固定的因素集作为选择标准,但是在处理一些未知...Web服务技术使开放环境中的大规模应用得到不断发展,服务提供商提供了不计其数的具有相同或类似功能的Web服务,如何选择适合的尤其是可信的Web服务是个难题。目前大多数服务选择机制都设计固定的因素集作为选择标准,但是在处理一些未知的Web服务时,难以满足用户的多样性需求。基于此,从社会网络的视角综合考虑了服务提供商网络和用户网络两个方面,提出了可信服务选择框架,对服务提供商采用模糊综合评价法来确定其综合评价值,基于用户声望评价来确定单个Web服务的可信度。用户依据服务质量(Quality of Service,QoS)需求、得到的QoS数据、服务提供商的综合评价和Web服务的可信度进行Web服务的选择。展开更多
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)
文摘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.
基金supported by the National Social Science Foundation of China(Grant No.:10ATQ004)
文摘Purpose:This study was conducted to investigate the current situation of privacy disclosure(in the Chinese social networking sites.Design/methodology/approach:Data analysis was based on profiles of 240 college students on Renren.com,a popular college-oriented social networking site in China.Users’ privacy disclosure behaviors were studied and gender difference was analyzed particularly.Correlation analysis was conducted to examine the relationships among evaluation indicators involving user name,image,page visibility,message board visibility,completeness of education information and provision of personal information.Findings:A large amount of personal information was disclosed via social networking sites in China.Greater percentage of male users than female users disclosed their personal information.Furthermore,significantly positive relationships were found among page visibility,message board visibility,completeness of education information and provision of personal information.Research limitations:Subjects were collected from only one social networking website.Meanwhile,our survey involves subjective judgments of user name reliability,category of profile images and completeness of information.Practical implications:This study will be of benefit for college administrators,teachers and librarians to design courses for college students on how to use social networking sites safely.Originality /value:This empirical study is one of the first studies to reveal the current situation of privacy disclosure in the Chinese social networking sites and will help the research community gain a deeper understanding of privacy disclosure in the Chinese social networking sites.
文摘随着 Web 信息量的快速增长,个性化的 Web 信息推荐系统扮演着越来越重要的角色。目前,大多数 Web 信息推荐系统存在着个性化程度不高,对用户历史数据依赖性高,系统不具备开放性,用户偏好“走样”概率高的问题。针对这四个方面的问题,本文提出了一种新的、采用语义 Web 技术、基于 Web 社会网络的个性化 Web 信息推荐模型,详细分析了用户偏好的获取,Web 社会网络的生成以及待过滤 Web 信息的采集。并且,利用从实际中采集的真实数据进行了实验,证明了模型的可行性和有效性。
文摘Web服务技术使开放环境中的大规模应用得到不断发展,服务提供商提供了不计其数的具有相同或类似功能的Web服务,如何选择适合的尤其是可信的Web服务是个难题。目前大多数服务选择机制都设计固定的因素集作为选择标准,但是在处理一些未知的Web服务时,难以满足用户的多样性需求。基于此,从社会网络的视角综合考虑了服务提供商网络和用户网络两个方面,提出了可信服务选择框架,对服务提供商采用模糊综合评价法来确定其综合评价值,基于用户声望评价来确定单个Web服务的可信度。用户依据服务质量(Quality of Service,QoS)需求、得到的QoS数据、服务提供商的综合评价和Web服务的可信度进行Web服务的选择。
