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Unifying Cyber Threat Intelligence
Menges, Florian
, Sperl, Christine and Pernul, Günther
(2019)
Unifying Cyber Threat Intelligence.
In: Trust, Privacy and Security in Digital Business.
Date of publication of this fulltext: 16 Sep 2019 11:16
Conference or workshop item
DOI to cite this document: 10.5283/epub.40699
Abstract
The threat landscape and the associated number of IT security incidents are constantly increasing. In order to address this problem, a trend towards cooperative approaches and the exchange of information on security incidents has been developing over recent years. Today, several different data formats with varying properties are available that allow to structure and describe incidents as well as ...
The threat landscape and the associated number of IT security incidents are constantly increasing. In order to address this problem, a trend towards cooperative approaches and the exchange of information on security incidents has been developing over recent years. Today, several different data formats with varying properties are available that allow to structure and describe incidents as well as cyber threat intelligence (CTI) information. Observed differences in data formats implicate problems in regard to consistent understanding and compatibility. This ultimately builds a barrier for efficient information exchange. Moreover, a common definition for the components of CTI formats is missing. In order to improve this situation, this work presents an approach for the description and unification of these formats. Therefore, we propose a model that describes the elementary properties as well as a common notation for entities within CTI formats. In addition, we develop a unified model to show the results of our work, to improve the understanding of CTI data formats and to discuss possible future research directions.
Involved Institutions
Details
| Item type | Conference or workshop item (Speech) |
| Publisher: | Springer International Publishing |
|---|---|
| Place of Publication: | Cham |
| Page Range: | pp. 161-175 |
| Date | 2019 |
| Institutions | Business, Economics and Information Systems > Institut für Wirtschaftsinformatik Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul) Informatics and Data Science > Department Information Systems > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul) |
| Dewey Decimal Classification | 000 Computer science, information & general works > 004 Computer science |
| Status | Published |
| Refereed | Yes, this version has been refereed |
| Created at the University of Regensburg | Yes |
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-406990 |
| Item ID | 40699 |
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