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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URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning

Duanyi Yao (Hong Kong University of Science and Technology), Songze Li (Southeast University), Xueluan Gong (Wuhan University), Sizai Hou (Hong Kong University of Science and Technology), Gaoning Pan (Hangzhou Dianzi University)

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Off-Path TCP Hijacking in Wi-Fi Networks: A Packet-Size Side...

Ziqiang Wang (Southeast University), Xuewei Feng (Tsinghua University), Qi Li (Tsinghua University), Kun Sun (George Mason University), Yuxiang Yang (Tsinghua University), Mengyuan Li (University of Toronto), Ganqiu Du (China Software Testing Center), Ke Xu (Tsinghua University), Jianping Wu (Tsinghua University)

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Passive Inference Attacks on Split Learning via Adversarial Regularization

Xiaochen Zhu (National University of Singapore & Massachusetts Institute of Technology), Xinjian Luo (National University of Singapore & Mohamed bin Zayed University of Artificial Intelligence), Yuncheng Wu (Renmin University of China), Yangfan Jiang (National University of Singapore), Xiaokui Xiao (National University of Singapore), Beng Chin Ooi (National University of Singapore)

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