陷阱方法保证数据安全

Collection of selected papers of the III International Conference on Information Technology and Nanotechnology Pub Date : 2019-01-01 DOI:10.18287/1613-0073-2019-2416-189-198

D. A. Shkirdov, E. Sagatov, P. S. Dmitrenko

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引用次数: 0

摘要

本文给出了一个地理分布的蜜罐网络的数据分析结果。这种蜜罐服务器两年前在萨马拉、顿河畔罗斯托夫、克里米亚和美国部署。详细讨论了用于安全远程访问SSH的统计处理方法。攻击地址列表被突出显示，并确定其地理归属。采用秩分布作为统计分析的基础。然后计算对10个已安装服务中的每个服务的请求强度。

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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Trap method in ensuring data security

This paper presents the results of data analysis from a geographically distributed honeypot network. Such honeypot servers were deployed in Samara, Rostov on Don, Crimea and the USA two years ago. Methods for processing statistics are discussed in detail for secure remote access SSH. Lists of attacking addresses are highlighted, and their geographical affiliation is determined. Rank distributions were used as the basis for statistical analysis. The intensity of requests to each of the 10 installed services was then calculated.

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Collection of selected papers of the III International Conference on Information Technology and Nanotechnology

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