Graph-based visual analytics for cyber threat intelligence

• Main Authors: Fabian Böhm, Florian Menges, Günther Pernul
• Format: Article
• Language: English
• Published: SpringerOpen 2018-12-01
• Series: Cybersecurity
• Subjects: Cyber threat intelligence; Visual analytics; Usable cybersecurity; STIX
• Online Access: http://link.springer.com/article/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 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. To meet these shortcomings we propose a visual analytics concept enabling security experts to analyze and enrich semi-structured cyber threat intelligence information. Our approach combines an innovative way of persisting this data with an interactive visualization component to analyze and edit the threat information. We demonstrate the feasibility of our concept using the Structured Threat Information eXpression, the state-of-the-art format for reporting cyber security issues.