3rd SOCCRATES article in Dutch IB Magazine from PvIB
17-10-2022Reinder Wolthuis and Frank Fransen, “SOCCRATES – SOCCRATES – Vision & Roadmap for SOC & CSIRTs”, IB magazine, 2022, Edition 5. It is a summary of the ‘vision, roadmap and guidance for SOC’ booklet that was recently published.
SOCCRATES Vision Paper
10-06-2022Continuous innovation and investment in automation is needed in SOCs and CSIRTs to stay ahead of the threats. The SOCCRATES Vision Paper provides a vision and concrete next steps on innovative security automation and answers questions such as ‘Why should we invest in automated security and how do you start?’, ‘What does the Next Generation SOC looks like?’ and ‘How can we integrate automation into our way of working?’.
2nd SOCCRATES article in Dutch IB Magazine from PvIB
22-10-2021Reinder Wolthuis and Frank Fransen, “SOCCRATES – Real-time threat, impact analysis and response automation for SOC/CSIRT operations”, IB magazine, 2021, Edition 5.
Article in Dutch IB Magazine from PvIB
03-09-2021Reinder Wolthuis and Frank Fransen, “SOCCRATES – Security automation in SOC & CSIRT envirnment”, IB magazine, 2021, Edition 4.
Paper at IEEE CSR 2021 conference (Best Paper Award)
30-07-2021A. Gylling, M. Ekstedt, Z. Afzal, and P. Eliasson, “Mapping cyber threat intelligence to probabilistic attack graphs”, 2021 IEEE International Conference on Cyber Security and Resilience, July 2021. (Best research paper award). A summary of the paper can be found here.
The paper is based on the Master Thesis of Andreas Gylling, and can be found here.
Paper at GraMSec 2020
23-06-2021S. Katsikeas, S. Hacks, P. Johnson, M. Ekstedt, R. Lagerström, J Jacobsson, “An Attack simulation language for the IT domain”, International Workshop on Graphical Models for Security, GraMSec 2020, 67 -86, June 2020 link
Paper at CD-MAKE 2020
23-06-2021Martin Teuffenbach, Ewa Piatkowska, Paul Smith, “Subverting Network Intrusion Detection:
Crafting Adversarial Examples Accounting for Domain-Specific Constraints”, International IFIP
Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE) 2020,
Online Event, pp. 301-320, 2020 link