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Graph-based visual analytics for cyber threat intelligence

Böhm, Fabian , Menges, Florian and Pernul, Günther (2018) Graph-based visual analytics for cyber threat intelligence. Cybersecurity 1 (1), pp. 1-16.

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Date of publication of this fulltext: 09 Jan 2019 12:08

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Other URL: https://rdcu.be/beIvJ, https://doi.org/10.1186/s42400-018-0017-4


Abstract

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 ...

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Item type:Article
Date:28 December 2018
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)
Projects:DINGfest
Identification Number:
ValueType
10.1186/s42400-018-0017-4DOI
Keywords:Cyber Threat Intelligence Visual Analytics Usable Cybersecurity STIX
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
Item ID:38161
Owner only: item control page

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