针对蜜罐的真实攻击连接的测量

Wuyan Sun, Chuyang Yuan, Wenjun Fan
{"title":"针对蜜罐的真实攻击连接的测量","authors":"Wuyan Sun, Chuyang Yuan, Wenjun Fan","doi":"10.1109/MN55117.2022.9887774","DOIUrl":null,"url":null,"abstract":"Honeypot is a special security tool created for enticing attackers and studying their malicious activities. The interaction extent between the honeypot and the attacker is pre-sumably in compliance with the fidelity level (or the interaction level) of the honeypot, i.e., more information system resource the honeypot provides, longer term the attacker is sunk, and more activities the honeypot can capture. However, we found that there are few works focusing on the interaction extent/duration in terms of the attack connection. Therefore, this paper emphasizes the measurement of the time-related property, i.e., the attack connection duration in light of the honeypot's interaction-level. We deploy different interaction-level honeypots on CloudLab to observe the real-world attack connections. The data collection continues for 4 weeks. Thereafter, we apply a statistical analysis on the collected data to verify the correspondence between the attack extend and the honeypot's fidelity level. We figure out that the high-interaction honeypot (HIH) can make the attacker trap in for 6.51 seconds on average, while the low-interaction honeypot (LIH) can hold the attacker in play for just 1.61 seconds on average but can distract more attackers.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Measurement of Real-world Attack Connections toward Honeypots\",\"authors\":\"Wuyan Sun, Chuyang Yuan, Wenjun Fan\",\"doi\":\"10.1109/MN55117.2022.9887774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Honeypot is a special security tool created for enticing attackers and studying their malicious activities. The interaction extent between the honeypot and the attacker is pre-sumably in compliance with the fidelity level (or the interaction level) of the honeypot, i.e., more information system resource the honeypot provides, longer term the attacker is sunk, and more activities the honeypot can capture. However, we found that there are few works focusing on the interaction extent/duration in terms of the attack connection. Therefore, this paper emphasizes the measurement of the time-related property, i.e., the attack connection duration in light of the honeypot's interaction-level. We deploy different interaction-level honeypots on CloudLab to observe the real-world attack connections. The data collection continues for 4 weeks. Thereafter, we apply a statistical analysis on the collected data to verify the correspondence between the attack extend and the honeypot's fidelity level. We figure out that the high-interaction honeypot (HIH) can make the attacker trap in for 6.51 seconds on average, while the low-interaction honeypot (LIH) can hold the attacker in play for just 1.61 seconds on average but can distract more attackers.\",\"PeriodicalId\":148281,\"journal\":{\"name\":\"2022 IEEE International Symposium on Measurements & Networking (M&N)\",\"volume\":\"199 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Symposium on Measurements & Networking (M&N)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MN55117.2022.9887774\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Symposium on Measurements & Networking (M&N)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MN55117.2022.9887774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

蜜罐是一种特殊的安全工具,用于引诱攻击者并研究他们的恶意活动。蜜罐与攻击者之间的交互程度大致符合蜜罐的保真度级别(或交互级别),即蜜罐提供的信息系统资源越多,攻击者沉没的时间越长,蜜罐捕获的活动越多。然而,我们发现很少有研究关注攻击连接方面的交互程度/持续时间。因此,本文强调测量与时间相关的属性,即根据蜜罐的交互级别测量攻击连接持续时间。我们在CloudLab上部署了不同的交互级蜜罐,以观察真实世界的攻击连接。数据收集持续4周。然后,对收集到的数据进行统计分析,验证攻击范围与蜜罐保真度之间的对应关系。我们发现,高交互蜜罐(HIH)平均可以让攻击者陷入6.51秒,而低交互蜜罐(LIH)平均只能让攻击者陷入1.61秒,但可以分散更多的攻击者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
A Measurement of Real-world Attack Connections toward Honeypots
Honeypot is a special security tool created for enticing attackers and studying their malicious activities. The interaction extent between the honeypot and the attacker is pre-sumably in compliance with the fidelity level (or the interaction level) of the honeypot, i.e., more information system resource the honeypot provides, longer term the attacker is sunk, and more activities the honeypot can capture. However, we found that there are few works focusing on the interaction extent/duration in terms of the attack connection. Therefore, this paper emphasizes the measurement of the time-related property, i.e., the attack connection duration in light of the honeypot's interaction-level. We deploy different interaction-level honeypots on CloudLab to observe the real-world attack connections. The data collection continues for 4 weeks. Thereafter, we apply a statistical analysis on the collected data to verify the correspondence between the attack extend and the honeypot's fidelity level. We figure out that the high-interaction honeypot (HIH) can make the attacker trap in for 6.51 seconds on average, while the low-interaction honeypot (LIH) can hold the attacker in play for just 1.61 seconds on average but can distract more attackers.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Computational and experimental characterization of EMF exposure at 3.5 GHz using electro-optical probes A Novel Methodology to Remotely and Early Diagnose Sleep Bruxism by Leveraging on Audio Signals and Embedded Machine Learning Design and characterization of AESA prototype driven by a DTRM Reinforcement Learning applied to Network Synchronization Systems Outdoor sports tracking by means of hybrid GPS-LoRaWAN localization
×
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