Analysis of Network Threats Based on Data from Server-Traps

E. Sagatov, D. A. Shkirdov, A. Sukhov
{"title":"Analysis of Network Threats Based on Data from Server-Traps","authors":"E. Sagatov, D. A. Shkirdov, A. Sukhov","doi":"10.1109/NTMS.2019.8763847","DOIUrl":null,"url":null,"abstract":"The paper presents the results of data analysis from a geographically distributed network of honeypot servers. A network of 4 honeypot servers was deployed more than two years ago. Analysis of the collected data has allowed us to build a network intrusion model. This model includes blacklists of attacking addresses for various internet services, statistics on the intensity of everyday intrusion attempts and an analysis of attacking addresses as belonging to providers of various countries. Special mention should be made of the ranked lists of major vulnerabilities that attackers use to attempt to break content management systems.","PeriodicalId":368680,"journal":{"name":"2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NTMS.2019.8763847","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The paper presents the results of data analysis from a geographically distributed network of honeypot servers. A network of 4 honeypot servers was deployed more than two years ago. Analysis of the collected data has allowed us to build a network intrusion model. This model includes blacklists of attacking addresses for various internet services, statistics on the intensity of everyday intrusion attempts and an analysis of attacking addresses as belonging to providers of various countries. Special mention should be made of the ranked lists of major vulnerabilities that attackers use to attempt to break content management systems.
基于服务器trap数据的网络威胁分析
本文介绍了一个地理分布的蜜罐服务器网络的数据分析结果。两年多前部署了一个由4台蜜罐服务器组成的网络。通过对收集到的数据进行分析,我们可以建立一个网络入侵模型。该模型包括针对各种互联网服务的攻击地址的黑名单,对日常入侵尝试的强度的统计以及对属于不同国家提供商的攻击地址的分析。应该特别提到攻击者用来破坏内容管理系统的主要漏洞的排名列表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信