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基于交互行为的在线社会网络水军检测方法
Interaction based on method for spam detection in online social networks
- 通信学报 2015年36卷第7期 页码：120-128
- 作者机构：
国防科学技术大学 计算机学院，湖南 长沙 410073
- 作者简介：
[ "陈侃（1985-），男，陕西汉中人，国防科学技术大学博士生，主要研究方向为社会网络与网络安全。" ]
[ "陈亮（1984-），男，四川泸州人，国防科学技术大学博士生，主要研究方向为社会网络与网络安全。" ]
[ "朱培栋（1971-），男，山东兖州人，博士，国防科学技术大学教授、博士生导师，主要研究方向为网络安全、在线社会网络、网络科学。" ]
[ "熊岳山（1963-），男，湖南岳阳人，博士，国防科学技术大学教授、博士生导师，主要研究方向为图形和图像处理。" ]
- 基金信息：国家自然科学基金资助项目(61170285);国家自然科学基金资助项目(61379103)
DOI：10.11959/j.issn.1000-436x.2015156
中图分类号： TP393-
网络出版日期：2015-07，
纸质出版日期：2015-07-25
- 稿件说明：
移动端阅览
陈侃, 陈亮, 朱培栋, 等. 基于交互行为的在线社会网络水军检测方法[J]. 通信学报, 2015,36(7):120-128.
Kan CHEN, Liang CHEN, Pei-dong ZHU, et al. Interaction based on method for spam detection in online social networks[J]. Journal on communications, 2015, 36(7): 120-128.
陈侃, 陈亮, 朱培栋, 等. 基于交互行为的在线社会网络水军检测方法[J]. 通信学报, 2015,36(7):120-128. DOI： 10.11959/j.issn.1000-436x.2015156.
Kan CHEN, Liang CHEN, Pei-dong ZHU, et al. Interaction based on method for spam detection in online social networks[J]. Journal on communications, 2015, 36(7): 120-128. DOI： 10.11959/j.issn.1000-436x.2015156.
摘要
网络水军对广告、谣言、木马和恶意链接进行传播，不仅干扰用户对在线社会网络的正常访问，还可能引发网络安全、社会稳定等方面的问题。针对网络水军信息传播的特点，提出基于交互行为的信息传播模型。模型根据不同传播主体间的交互定义特征来量化传播行为，使用决策树方法对水军传播的信息进行检测。通过新浪微博的真实数据分析传播模型并验证检测方法，结果表明检测方法能够对微博中水军信息进行有效检测。
Abstract
In online social networks
advertisements
rumors and malicious links are propagated by spammers arbitrarily.They not only disturb users’usualaccess
but also bring about network security threats and social panics.In an attempt to deal with the spam problems
an information diffusion model was proposed to capture the features of spam propagation.Propagation behaviors are quantitatively analyzed to detect spam messages with a decision tree-based method.The effectiveness of proposed detection model is evaluated with real data from the micro-bloggingnetwork of Sina.The experimental results show that proposed model can effectively detect spams in Sina micro-bloggingnetwork.
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references
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