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Menges, Florian ; Sperl, Christine ; Pernul, Günther

Unifying Cyber Threat Intelligence

Menges, Florian , Sperl, Christine und Pernul, Günther (2019) Unifying Cyber Threat Intelligence. In: Trust, Privacy and Security in Digital Business.

Veröffentlichungsdatum dieses Volltextes: 16 Sep 2019 11:16
Konferenz- oder Workshop-Beitrag
DOI zum Zitieren dieses Dokuments: 10.5283/epub.40699


Zusammenfassung

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.


Beteiligte Einrichtungen


Details

DokumentenartKonferenz- oder Workshop-Beitrag (Vortrag)
Verlag:Springer International Publishing
Ort der Veröffentlichung:Cham
Seitenbereich:S. 161-175
Datum2019
InstitutionenWirtschaftswissenschaften > Institut für Wirtschaftsinformatik
Wirtschaftswissenschaften > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)
Informatik und Data Science > Fachbereich Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)
Dewey-Dezimal-Klassifikation000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
URN der UB Regensburgurn:nbn:de:bvb:355-epub-406990
Dokumenten-ID40699

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