Threat Intelligence Quality Dimensions for Research and Practice


연구 분야: Safety



학회: Digital Threats: Research and Practice, Volume 3, Issue 4


초록

As the adoption and diversity of threat intelligence solutions continue to grow, questions about their effectiveness, particularly in regards to the quality of the data they provide, remain unanswered. Several studies have highlighted data quality issues as one of the most common barriers to effective threat intelligence sharing. Furthermore, research and practice lack a common understanding of the expected quality of threat intelligence. To investigate these issues, our research utilised a systematic literature review followed by a modified Delphi study that involved 30 threat intelligence experts in Europe. We identified a set of threat intelligence quality dimensions along with revised definitions for threat data, information, and intelligence.


Author Profile
Adam Zibak

Department of Computer Science University of Oxford United Kingdom

United Kingdom
Author Profile
Clemens Sauerwein

Department of Computer Science University of Innsbruck Austria

Austria
Author Profile
Andrew C Simpson

Department of Computer Science University of Oxford United Kingdom

United Kingdom

📄 논문 정보

발행 연도 2022년
인용수 13
출판 국가 United Kingdom, Austria
사이트 ACM
좋아요 수 0

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