From Threat Data to Actionable Intelligence: An Exploratory Analysis of the Intelligence Cycle Implementation in Cyber Threat Intelligence Sharing Platforms

Clemens Sauerwein, D. Fischer, Milena Rubsamen, Guido Rosenberger, D. Stelzer, R. Breu
{"title":"From Threat Data to Actionable Intelligence: An Exploratory Analysis of the Intelligence Cycle Implementation in Cyber Threat Intelligence Sharing Platforms","authors":"Clemens Sauerwein, D. Fischer, Milena Rubsamen, Guido Rosenberger, D. Stelzer, R. Breu","doi":"10.1145/3465481.3470048","DOIUrl":null,"url":null,"abstract":"In the last couple of years, organizations have demonstrated an increasing willingness to share data, information and intelligence regarding emerging threats to collectively protect against today’s sophisticated cyber attacks. Accordingly, several vendors started to implement software solutions that facilitate this exchange and appear under the name cyber threat intelligence sharing platforms. However, recent investigations have shown that these platforms differ significantly in their functional scope and often only provide threat data instead of the promised actionable intelligence. Moreover, it is unclear to what extent the platforms implement the expected intelligence cycle processes. In order to close this gap, we investigate the state-of-the-art in scientific literature and analyze the functional scope of nine threat intelligence sharing platforms with respect to the intelligence cycle. Our study provides a comprehensive list of software functions that should be implemented by cyber threat intelligence sharing platforms in order to support the intelligence cycle to generate actionable threat intelligence.","PeriodicalId":417395,"journal":{"name":"Proceedings of the 16th International Conference on Availability, Reliability and Security","volume":"5 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th International Conference on Availability, Reliability and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3465481.3470048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

In the last couple of years, organizations have demonstrated an increasing willingness to share data, information and intelligence regarding emerging threats to collectively protect against today’s sophisticated cyber attacks. Accordingly, several vendors started to implement software solutions that facilitate this exchange and appear under the name cyber threat intelligence sharing platforms. However, recent investigations have shown that these platforms differ significantly in their functional scope and often only provide threat data instead of the promised actionable intelligence. Moreover, it is unclear to what extent the platforms implement the expected intelligence cycle processes. In order to close this gap, we investigate the state-of-the-art in scientific literature and analyze the functional scope of nine threat intelligence sharing platforms with respect to the intelligence cycle. Our study provides a comprehensive list of software functions that should be implemented by cyber threat intelligence sharing platforms in order to support the intelligence cycle to generate actionable threat intelligence.
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
从威胁数据到可操作情报:网络威胁情报共享平台中情报周期实施的探索性分析
在过去的几年里,组织已经表现出越来越多的意愿来共享有关新兴威胁的数据、信息和情报,以共同抵御当今复杂的网络攻击。因此,一些供应商开始实施促进这种交换的软件解决方案,并以网络威胁情报共享平台的名义出现。然而,最近的调查表明,这些平台在功能范围上存在很大差异,而且通常只提供威胁数据,而不是承诺的可操作情报。此外,目前还不清楚这些平台在多大程度上实现了预期的情报周期过程。为了缩小这一差距,我们研究了科学文献中的最新技术,并分析了九个威胁情报共享平台在情报周期方面的功能范围。我们的研究提供了一份全面的软件功能清单,这些功能应由网络威胁情报共享平台实施,以支持情报周期以生成可操作的威胁情报。
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
Fighting organized crime by automatically detecting money laundering-related financial transactions Template Protected Authentication based on Location History and b-Bit MinHash Structuring a Cybersecurity Curriculum for Non-IT Employees of Micro- and Small Enterprises Privacy in Times of COVID-19: A Pilot Study in the Republic of Ireland Location Security under Reference Signals’ Spoofing Attacks: Threat Model and Bounds
×
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