高级检索

    垃圾标签的抵御方法研究

    Research on Countermeasures Against Tag Spam

    • 摘要: 作为现实中倍受欢迎的网络应用之一,标签系统很容易成为恶意攻击者的目标.在标签系统中,恶意用户常出于特殊目的对系统中的资源标注与其内容不相关的垃圾标签,从而误导普通用户对这些资源的查找和分享.已有工作表明,垃圾标签的抵御效果会直接影响到标签系统的服务质量.基于此背景,通过调研归纳已有文献,从垃圾标签攻击的形式化描述出发,全面总结并抽象出垃圾标签现有的3类抵御方法:基于检测的方法、基于降级的方法和基于预防的方法.对每一类方法,进一步总结和归纳具体的实现算法,并对算法的执行效率和可用性等优缺点进行分析.通过对垃圾标签现有抵御方法的阐述,旨在帮助读者了解该研究领域的现状,并对新的垃圾标签抵御机制的提出有所启发.

       

      Abstract: As one of the most popular Internet applications, it is relatively easy for tagging systems to become the targets of malicious attackers. In a tagging system, malicious users always annotate resources with tag spam for some reason, thereby misleading normal users from searching and sharing those resources. Existing work has already shown that the defense effect of tag spam would directly influence the quality of services provided by tagging systems. Based on this background, through investigating some existing research efforts, this paper gives the formal descriptions of attack styles, and summarizes and extracts the existing three types of methods to defend against tag spam: detection-based method, demotion-based method, and prevention-based method. As to each type of method, this paper further describes corresponding implementing algorithms in detail, and analyzes their advantages and disadvantages, such as efficiency and availability. At the end of this paper, the authors also exhibit the future research directions of defending against tag spam. According to the description of countermeasures against tag spam, this paper can help readers or beginners to get familiar with the situation of this new research field and help researchers to think out more and more novel, practical and effective countermeasures against tag spam.

       

    /

    返回文章
    返回