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Defense against sybil attacks in directed social networks

机译:防范Sybil在针对社交网络中的攻击

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In this paper, we attempt to solve the problem of defense against sybil attacks in directed social networks. We propose a set of measures for the quality of network partitions, with modularity as a special case. We present an algorithm based on the set of measures and iterative optimization to detect the sybil region. The algorithm is evaluated using a subset of real-world social topology and is confirmed to be efficient for solving the problem. Moreover, a comparison between the proposed algorithm and SybilDefender is provided, which shows that the proposed algorithm is superior for the sybil region detection problem in directed social networks.
机译:在本文中,我们试图解决针对Sybil攻击的防御问题。我们为网络分区的质量提出了一套措施,模块化为特例。我们介绍了一种基于一组测量和迭代优化来检测Sybil区域的算法。使用真实世界的社交拓扑的子集进行评估算法,并确认是为了解决问题的效率。此外,提供了所提出的算法和Sybildefender之间的比较,其示出了所提出的算法对于指导社交网络中的Sybil区域检测问题优于Sybil区域检测问题。

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