An Analysis of Graph Properties for Detecting Sybil Nodes in Social Networks

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of ICT Research and Applications Pub Date : 2018-09-28 DOI:10.5614/ITBJ.ICT.RES.APPL.2018.12.2.6
Korkiat Kaewking, Sirapat Boonkrong
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引用次数: 2

Abstract

This research concerns the analysis of social networks using graph theory to find properties that can be used to determine Sybil nodes. This research also investigated the mixing time, which is one of the properties that many existing methods use for detecting Sybil attacks. The results showed that the mixing time does not reflect the difference between honest graphs and Sybil graphs. In addition, the properties of social graphs were studied and it was found that the average node distance is different in graphs containing Sybil nodes than in graphs with only honest nodes. Furthermore, the eigenvector centrality and the degree of Sybil nodes are correlated, while in honest nodes they are not.
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检测社交网络Sybil节点的图性质分析
本研究涉及使用图论分析社交网络,以找到可用于确定Sybil节点的属性。本研究还研究了混合时间,这是许多现有方法用于检测Sybil攻击的特性之一。结果表明,混合时间并不能反映诚实图和西比尔图之间的差异。此外,研究了社会图的性质,发现含有Sybil节点的图的平均节点距离与只有诚实节点的图不同。此外,特征向量中心性和Sybil节点的度是相关的,而在诚实节点中,它们不是。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of ICT Research and Applications
Journal of ICT Research and Applications COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
1.60
自引率
0.00%
发文量
13
审稿时长
24 weeks
期刊介绍: Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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