网络媒体黑市合谋调查
Blackmarket-driven Collusion on Online Media: A Survey
摘要：
在线媒体平台使用户能够与个人，组织联系并分享他们的想法。除了连接，这些平台还服务于多种目的-教育，推广，更新，意识等，因此，提高个人在网络媒体中的声誉（又名社交增长）至关重要，尤其是对于那些希望提高宣传和销售的企业主和活动经理。获得社会增长的自然方式是一项乏味的任务，这导致创造不公平的方式来人为地提高个人的声誉。一些在线黑市服务已经开发出繁荣的生态系统，提供有利可图的优惠，以吸引内容推广者在线宣传他们的内容。这些服务的运作方式是，它们的大部分无机活动都不被媒体当局注意到，黑市服务的客户也不太可能被发现。我们将这种在网络媒体上提升社会声誉的不公平方式称为串通。这项调查是第一次尝试为读者提供一个全面的概述，最新的研究处理识别和分析黑市驱动的共谋在网络媒体。我们提出了一个广泛的问题，相关问题和概念的定义，分类的建议的方法，公开可用的数据集和在线工具的描述，并讨论了悬而未决的问题。我们认为，共谋实体检测是异常检测和网络安全研究中的一个新兴课题，目前的调查将为读者提供一个易于访问的方法，工具和资源的全面列表，迄今为止，用于检测和分析在线媒体上的共谋实体。
英文摘要：
Online media platforms have enabled users to connect with individuals, organizations, and share their thoughts. Other than connectivity, these platforms also serve multiple purposes - education, promotion, updates, awareness, etc. Increasing the reputation of individuals in online media (aka Social growth) is thus essential these days, particularly for business owners and event managers who are looking to improve their publicity and sales. The natural way of gaining social growth is a tedious task, which leads to the creation of unfair ways to boost the reputation of individuals artificially. Several online blackmarket services have developed thriving ecosystem with lucrative offers to attract content promoters for publicizing their content online. These services are operated in such a way that most of their inorganic activities are being unnoticed by the media authorities, and the customers of the blackmarket services are less likely to be spotted. We refer to such unfair ways of bolstering social reputation in online media as collusion. This survey is the first attempt to provide readers a comprehensive outline of the latest studies dealing with the identification and analysis of blackmarket-driven collusion in online media. We present a broad overview of the problem, definitions of the related problems and concepts, the taxonomy of the proposed approaches, description of the publicly available datasets and online tools, and discuss the outstanding issues. We believe that collusive entity detection is a newly emerging topic in anomaly detection and cyber-security research in general and the current survey will provide readers with an easy-to-access and comprehensive list of methods, tools and resources proposed so far for detecting and analyzing collusive entities on online media.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
