Leon Kersten (Eindhoven University of Technology), Kim Beelen (Eindhoven University of Technology), Emmanuele Zambon (Eindhoven University of Technology), Chris Snijders (Eindhoven University of Technology), Luca Allodi (Eindhoven University of Technology)

The alert investigation processes junior (Tier-1) analysts follow are critical to attack detection and communication in Security Operation Centers (SOCs). Yet little is known on how analysts conduct alert investigations, which information they consider, and when. In this work, we collaborate with a commercial SOC and employ two think-aloud experiments. The first is to evaluate the alert investigation process followed by professional T1 analysts, and identify criticalities within. For the second experiment, we develop an alert investigation support system (AISS), integrate it into the SOC environment, and evaluate its effect on alert investigations with another cohort of T1 analysts. The experiments observe five and four analysts, respectively, conducting 400 and 36 investigations, respectively. Our results show that the analysts’ natural analysis process differs between analysts and types of alerts and that the AISS aids the analyst in gathering more relevant information while performing fewer actions for critical security alerts.

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Alba: The Dawn of Scalable Bridges for Blockchains

Giulia Scaffino (TU Wien), Lukas Aumayr (TU Wien), Mahsa Bastankhah (Princeton University), Zeta Avarikioti (TU Wien), Matteo Maffei (TU Wien)

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type++: Prohibiting Type Confusion with Inline Type Information

Nicolas Badoux (EPFL), Flavio Toffalini (Ruhr-Universität Bochum, EPFL), Yuseok Jeon (UNIST), Mathias Payer (EPFL)

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I know what you MEME! Understanding and Detecting Harmful...

Yong Zhuang (Wuhan University), Keyan Guo (University at Buffalo), Juan Wang (Wuhan University), Yiheng Jing (Wuhan University), Xiaoyang Xu (Wuhan University), Wenzhe Yi (Wuhan University), Mengda Yang (Wuhan University), Bo Zhao (Wuhan University), Hongxin Hu (University at Buffalo)

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