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首页> 外文期刊>IEEE transactions on dependable and secure computing >Wormhole: The Hidden Virus Propagation Power of the Search Engine in Social Networks
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Wormhole: The Hidden Virus Propagation Power of the Search Engine in Social Networks

机译：虫洞：社交网络中搜索引擎的隐藏病毒传播能力

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摘要

Today search engines are tightly coupled with social networks, and present users with a double-edged sword: they are able to acquire information interesting to users but are also capable of spreading viruses introduced by hackers. It is challenging to characterize how a search engine spreads viruses, since the search engine serves as a virtual virus pool and creates propagation paths over the underlying network structure. In this paper, we quantitatively analyze virus propagation effects and the stability of the virus propagation process in the presence of a search engine. First, although social networks have a community structure that impedes virus propagation, we find that a search engine generates a propagation wormhole. Second, we propose an epidemic feedback model and quantitatively analyze propagation effects based on a model employing four metrics: infection density, the propagation wormhole effect, the epidemic threshold, and the basic reproduction number. Third, we verify our analyses on four real-world data sets and two simulated data sets. Moreover, we prove that the proposed model has the property of partial stability. Evaluation results show that, compared the cases without a search engine, virus propagation with the search engine has a higher infection density, shorter network diameter, greater propagation velocity, lower epidemic threshold, and larger basic reproduction number.
机译：如今，搜索引擎与社交网络紧密相连，为用户提供了一把双刃剑：它们不仅能够获取用户感兴趣的信息，而且能够传播黑客引入的病毒。由于搜索引擎充当虚拟病毒库并在底层网络结构上创建传播路径，因此表征搜索引擎如何传播病毒具有挑战性。在本文中，我们定量分析了在存在搜索引擎的情况下病毒的传播效果和病毒传播过程的稳定性。首先，尽管社交网络具有阻止病毒传播的社区结构，但我们发现搜索引擎会生成传播虫洞。其次，我们提出了一种流行病反馈模型，并基于使用四个指标的模型对传播效果进行定量分析：感染密度，传播虫洞效应，流行病阈值和基本繁殖数量。第三，我们验证对四个真实世界数据集和两个模拟数据集的分析。此外，我们证明了所提模型具有部分稳定性。评价结果表明，与没有搜索引擎的情况相比，使用搜索引擎传播的病毒具有更高的感染密度，更短的网络直径，更大的传播速度，更低的流行阈值和更大的基本繁殖数量。

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