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Neighbor Similarity Trust against Sybil Attack in P2P E-Commerce

机译：P2P电子商务中针对Sybil攻击的邻居相似性信任

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摘要

Peer to peer (P2P) e-commerce applications exist at the edge of the Internet with vulnerabilities to passive and active attacks. These attacks have pushed away potential business firms and individuals whose aim is to get the best benefit in e-commerce with minimal losses. The attacks occur during interactions between the trading peers as a transaction takes place. In this paper, we propose how to address Sybil attack, an active attack, in which peers can have bogus and multiple identities to fake their owns. Most existing work, which concentrates on social networks and trusted certification, has not been able to prevent Sybil attack peers from doing transactions. Our work exploits the neighbor similarity trust relationship to address Sybil attack. In our approach, duplicated Sybil attack peers can be identified as the neighbor peers become acquainted and hence more trusted to each other. Security and performance analysis shows that Sybil attack can be minimized by our proposed neighbor similarity trust.
机译：对等（P2P）电子商务应用程序存在于Internet边缘，容易受到被动和主动攻击。这些攻击将潜在的商业公司和个人赶走了，这些公司和个人的目的是在电子商务中获得最大的收益，而损失却最小。攻击发生在交易对等方之间的交互过程中。在本文中，我们提出了如何应对Sybil攻击（一种主动攻击），在这种攻击中，对等体可能会伪造和使用多个身份伪造自己的身份。现有的大多数工作都集中在社交网络和受信任的证书上，但仍无法阻止Sybil攻击同行进行交易。我们的工作利用邻居相似性信任关系来解决Sybil攻击。在我们的方法中，随着邻居之间的结识并因此彼此之间更加信任，可以识别出重复的Sybil攻击对等点。安全性和性能分析表明，可以通过我们提议的邻居相似性信任来最大程度地减少Sybil攻击。

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