Automated ATT&CK Technique Chaining

Incident response teams need to determine what happened before and after an observation of adversary behavior in order to effectively respond to incidents. The MITRE ATT&CK knowledge base provides useful information about adversary behaviors but provides no guidance on what most likely happened before and after an observed behavior. We have developed methods and open source tools to help incident responders answer the questions “What did most likely happen prior to this observation?” and “What are the adversary’s most likely next steps given this observation?” To be able to answer these questions, we combine semantic modeling of subject matter expert knowledge with data-driven methods trained on data from computer security incidents.

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Publication Details

Journal
Digital Threats Research and Practice
Published
2024-09-13
DOI
https://doi.org/10.1145/3696013
Citations
2
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
1.56
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article

Automated ATT&CK Technique Chaining

Geir Skjøtskift, Martin Eian, Siri Bromander
2 citations
Digital Threats Research and Practice
Software Engineering Research
1.56
article

Automated ATT&CK Technique Chaining

Geir Skjøtskift, Martin Eian, Siri Bromander
article en
2 citations

Abstract

Incident response teams need to determine what happened before and after an observation of adversary behavior in order to effectively respond to incidents. The MITRE ATT&CK knowledge base provides useful information about adversary behaviors but provides no guidance on what most likely happened before and after an observed behavior. We have developed methods and open source tools to help incident responders answer the questions “What did most likely happen prior to this observation?” and “What are the adversary’s most likely next steps given this observation?” To be able to answer these questions, we combine semantic modeling of subject matter expert knowledge with data-driven methods trained on data from computer security incidents.

Digital Threats Research and PracticeVol. 6(1)
European Incoherent Scatter Scientific Association (NO)
Openalex Percentile: Top 13%
Software Engineering Research
1.56
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Automated ATT&CK Technique Chaining — Geir Skjøtskift, Martin Eian, et al. · Digital Threats Research and Practice (2024) | TGRS Research Map | TGRS