研究与实践的威胁情报质量维度

Adam Zibak, Clemens Sauerwein, Andrew C. Simpson
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引用次数: 2

摘要

随着威胁情报解决方案的采用和多样性不断增加,有关其有效性的问题,特别是有关其提供的数据质量的问题,仍未得到解答。几项研究强调,数据质量问题是有效共享威胁情报的最常见障碍之一。此外,研究和实践缺乏对威胁情报预期质量的共同理解。为了调查这些问题,我们的研究利用了系统的文献综述,随后进行了修改的德尔菲研究,涉及30名欧洲威胁情报专家。我们确定了一套威胁情报质量维度,并修订了威胁数据、信息和情报的定义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Threat Intelligence Quality Dimensions for Research and Practice
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.
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