| Veröffentlichte Version Download ( PDF | 1MB) | Lizenz: Creative Commons Namensnennung 4.0 International |
Graph-based visual analytics for cyber threat intelligence
Böhm, Fabian
, Menges, Florian und Pernul, Günther
(2018)
Graph-based visual analytics for cyber threat intelligence.
Cybersecurity 1 (1), S. 1-16.
Veröffentlichungsdatum dieses Volltextes: 09 Jan 2019 12:08
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.38161
Zusammenfassung
The ever-increasing amount of major security incidents has led to an emerging interest in cooperative approaches to encounter cyber threats. To enable cooperation in detecting and preventing attacks it is an inevitable necessity to have structured and standardized formats to describe an incident. Corresponding formats are complex and of an extensive nature as they are often designed for automated ...
The ever-increasing amount of major security incidents has led to an emerging interest in cooperative approaches to encounter cyber threats. To enable cooperation in detecting and preventing attacks it is an inevitable necessity to have structured and standardized formats to describe an incident. Corresponding formats are complex and of an extensive nature as they are often designed for automated processing and exchange. These characteristics hamper the readability and, therefore, prevent humans from understanding the documented incident. This is a major problem since the success and effectiveness of any security measure rely heavily on the contribution of security experts.
Alternative Links zum Volltext
Beteiligte Einrichtungen
Details
| Dokumentenart | Artikel | ||||
| Titel eines Journals oder einer Zeitschrift | Cybersecurity | ||||
| Verlag: | Springer Singapore | ||||
|---|---|---|---|---|---|
| Band: | 1 | ||||
| Nummer des Zeitschriftenheftes oder des Kapitels: | 1 | ||||
| Seitenbereich: | S. 1-16 | ||||
| Datum | 28 Dezember 2018 | ||||
| Institutionen | 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) | ||||
| Identifikationsnummer |
| ||||
| Stichwörter / Keywords | Cyber Threat Intelligence Visual Analytics Usable Cybersecurity STIX | ||||
| Dewey-Dezimal-Klassifikation | 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Ja | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-381615 | ||||
| Dokumenten-ID | 38161 |
Downloadstatistik
Downloadstatistik