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arXiv 2101.03212cs.CRcs.NI
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揭示I2P网络结构:连通性分析

Unveiling the I2P web structure: a connectivity analysis

Roberto Magán-Carrión, Alberto Abellán-Galera, Gabriel Maciá-Fernández, Pedro García-Teodoro

摘要:

Web是目前世界范围内用户和组织之间进行信息共享的主要和必不可少的服务。尽管目前这种流量在互联网上的重要性,但据估计,所谓的Surface Web流量仅占总数的5%左右。这种类型的流量的其余部分对应于被称为Deep Web的Web部分。这些内容不能被搜索引擎访问,因为它们是认证保护的内容或页面,只能通过众所周知的暗网访问。要浏览暗网网站,需要特殊授权或特定软件和配置。尽管TOR是目前最常用的暗网,但还有其他替代方案,如I2P或Freenet,它们为最终用户提供不同的功能。在这项工作中,我们进行了I2P网络中的网站(命名为eepsites)的连接性的分析,目的是发现如果不同的模式和关系,从那些在传统的Web遵循I2P,也得到有关其尺寸和结构的见解。为此,作者专门开发了一种新的工具,并部署在分布式场景中。主要结果得出结论的分散性质的I2P网络,其中有一个结构部分的互连eepsites,而其他几个节点是孤立的,可能是由于他们的间歇性存在于网络中。

英文摘要:

Web is a primary and essential service to share information among users and organizations at present all over the world. Despite the current significance of such a kind of traffic on the Internet, the so-called Surface Web traffic has been estimated in just about 5% of the total. The rest of the volume of this type of traffic corresponds to the portion of Web known as Deep Web. These contents are not accessible by search engines because they are authentication protected contents or pages that are only reachable through the well known as darknets. To browse through darknets websites special authorization or specific software and configurations are needed. Despite TOR is the most used darknet nowadays, there are other alternatives such as I2P or Freenet, which offer different features for end users. In this work, we perform an analysis of the connectivity of websites in the I2P network (named eepsites) aimed to discover if different patterns and relationships from those used in legacy web are followed in I2P, and also to get insights about its dimension and structure. For that, a novel tool is specifically developed by the authors and deployed on a distributed scenario. Main results conclude the decentralized nature of the I2P network, where there is a structural part of interconnected eepsites while other several nodes are isolated probably due to their intermittent presence in the network.

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。

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