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 effecti...
| Main Authors: | , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
Association for Computing Machinery
2022
|
| _version_ | 1826310156439257088 |
|---|---|
| author | Zibak, A Sauerwein, C Simpson, AC |
| author_facet | Zibak, A Sauerwein, C Simpson, AC |
| author_sort | Zibak, A |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-03-07T07:47:53Z |
| format | Journal article |
| id | oxford-uuid:0d395e0f-e2b7-4f08-b79d-eae8d08e274a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:47:53Z |
| publishDate | 2022 |
| publisher | Association for Computing Machinery |
| record_format | dspace |
| spelling | oxford-uuid:0d395e0f-e2b7-4f08-b79d-eae8d08e274a2023-06-22T12:06:28ZThreat intelligence quality dimensions for research and practiceJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:0d395e0f-e2b7-4f08-b79d-eae8d08e274aEnglishSymplectic ElementsAssociation for Computing Machinery2022Zibak, ASauerwein, CSimpson, ACAs 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. |
| spellingShingle | Zibak, A Sauerwein, C Simpson, AC Threat intelligence quality dimensions for research and practice |
| title | Threat intelligence quality dimensions for research and practice |
| title_full | Threat intelligence quality dimensions for research and practice |
| title_fullStr | Threat intelligence quality dimensions for research and practice |
| title_full_unstemmed | Threat intelligence quality dimensions for research and practice |
| title_short | Threat intelligence quality dimensions for research and practice |
| title_sort | threat intelligence quality dimensions for research and practice |
| work_keys_str_mv | AT zibaka threatintelligencequalitydimensionsforresearchandpractice AT sauerweinc threatintelligencequalitydimensionsforresearchandpractice AT simpsonac threatintelligencequalitydimensionsforresearchandpractice |