The paper “On the Automated Assessment of Open-Source Cyber Threat Intelligence Sources” was accepted at International Conference of Computational Science 2020, Amsterdam, The Netherlands, 3-5 June, 2020.
In this paper, TK researchers proposed an approach to automate the assessment of cyber threat intelligence sources and predict a relevance score for each source. Specifically, a model based on meta-data and word embedding was defined and experimented by training regression models to predict the relevance score of sources on Twitter.
Tundis A., Ruppert S., Mühlhäuser M. (2020) On the Automated Assessment of Open-Source Cyber Threat Intelligence Sources. In: Krzhizhanovskaya V. et al. (eds) Computational Science – ICCS 2020. ICCS 2020. Lecture Notes in Computer Science, vol 12138. Springer, Cham.