Fake PLC in the Cloud, We Thought the Attackers Believed that: How ICS Honeypot Deception Gets Impacted by Cloud Deployments?

Stanislava Ivanova, N. Moradpoor
{"title":"Fake PLC in the Cloud, We Thought the Attackers Believed that: How ICS Honeypot Deception Gets Impacted by Cloud Deployments?","authors":"Stanislava Ivanova, N. Moradpoor","doi":"10.1109/WFCS57264.2023.10144119","DOIUrl":null,"url":null,"abstract":"The Industrial Control System (ICS) industry faces an ever-growing number of cyber threats - defence against which can be strengthened using honeypots. As the systems they mimic, ICS honeypots shall be deployed in a similar context to field ICS systems. This ICS context demands a novel honeypot deployment process, that is more consistent with real ICS systems. State-of-the-art ICS honeypots mainly focus on deployments in cloud environments which could divulge the true intent to cautious adversaries. This experimental research project addresses this limitation by evaluating the deception capability of a public cloud and an on-premise deployment. Results from a 65-day, HoneyPLC experiment show that the on-premise deployment attracts more Denial of Service and Reconnaissance ICS attacks. The results guide future researchers that an on-premise deployment might be more convincing and attract more ICS-relevant interactions.","PeriodicalId":345607,"journal":{"name":"2023 IEEE 19th International Conference on Factory Communication Systems (WFCS)","volume":"1 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 19th International Conference on Factory Communication Systems (WFCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WFCS57264.2023.10144119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The Industrial Control System (ICS) industry faces an ever-growing number of cyber threats - defence against which can be strengthened using honeypots. As the systems they mimic, ICS honeypots shall be deployed in a similar context to field ICS systems. This ICS context demands a novel honeypot deployment process, that is more consistent with real ICS systems. State-of-the-art ICS honeypots mainly focus on deployments in cloud environments which could divulge the true intent to cautious adversaries. This experimental research project addresses this limitation by evaluating the deception capability of a public cloud and an on-premise deployment. Results from a 65-day, HoneyPLC experiment show that the on-premise deployment attracts more Denial of Service and Reconnaissance ICS attacks. The results guide future researchers that an on-premise deployment might be more convincing and attract more ICS-relevant interactions.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
云中的假PLC,我们以为攻击者相信:ICS蜜罐骗局如何受到云部署的影响?
工业控制系统(ICS)行业面临着越来越多的网络威胁,可以使用蜜罐来加强防御。作为模拟的系统,ICS蜜罐应该部署在与现场ICS系统相似的环境中。这种ICS环境需要一种新的蜜罐部署过程,它与实际的ICS系统更加一致。最先进的ICS蜜罐主要集中在云环境中的部署,这可能会向谨慎的对手泄露真实意图。本实验研究项目通过评估公共云和内部部署的欺骗能力来解决这一限制。为期65天的HoneyPLC实验结果表明,内部部署吸引了更多的拒绝服务和侦察ICS攻击。研究结果指导未来的研究人员,内部部署可能更有说服力,并吸引更多与ics相关的交互。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Authenticated UWB-Based Positioning of Passive Drones 60 GHz mmWave Signal Propagation Characterization in Workshop and Steel Industry Empirical Delay and Doppler Profiles for Industrial Wireless Channel Models TSN Scheduler Benchmarking Scheduling for Time-Critical Applications Utilizing TCP in Software-Based 802.1Qbv Wireless TSN
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1