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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Automatic Insecurity: Exploring Email Auto-configuration in the Wild

Shushang Wen (School of Cyber Science and Technology, University of Science and Technology of China), Yiming Zhang (Tsinghua University), Yuxiang Shen (School of Cyber Science and Technology, University of Science and Technology of China), Bingyu Li (School of Cyber Science and Technology, Beihang University), Haixin Duan (Tsinghua University; Zhongguancun Laboratory), Jingqiang Lin (School of Cyber…

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GAP-Diff: Protecting JPEG-Compressed Images from Diffusion-based Facial Customization

Haotian Zhu (Nanjing University of Science and Technology), Shuchao Pang (Nanjing University of Science and Technology), Zhigang Lu (Western Sydney University), Yongbin Zhou (Nanjing University of Science and Technology), Minhui Xue (CSIRO's Data61)

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From Underground to Mainstream Marketplaces: Measuring AI-Enabled NSFW Deepfakes...

Mohamed Moustafa Dawoud (University of California, Santa Cruz), Alejandro Cuevas (Princeton University), Ram Sundara Raman (University of California, Santa Cruz)

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