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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Sarah Kaleem (Prince Sultan University, PSU) Awais Ahmad (Imam Mohammad Ibn Saud Islamic University, IMSIU), Muhammad Babar (Prince Sultan University, PSU), Goutham Reddy Alavalapati (University of Illinois, Springfield)

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SongBsAb: A Dual Prevention Approach against Singing Voice Conversion...

Guangke Chen (Pengcheng Laboratory), Yedi Zhang (National University of Singapore), Fu Song (Key Laboratory of System Software (Chinese Academy of Sciences) and State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Science; Nanjing Institute of Software Technology), Ting Wang (Stony Brook University), Xiaoning Du (Monash University), Yang Liu (Nanyang Technological University)

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A Key-Driven Framework for Identity-Preserving Face Anonymization

Miaomiao Wang (Shanghai University), Guang Hua (Singapore Institute of Technology), Sheng Li (Fudan University), Guorui Feng (Shanghai University)

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BrowserFM: A Feature Model-based Approach to Browser Fingerprint Analysis

Maxime Huyghe (Univ. Lille, Inria, CNRS, UMR 9189 CRIStAL), Clément Quinton (Univ. Lille, Inria, CNRS, UMR 9189 CRIStAL), Walter Rudametkin (Univ. Rennes, Inria, CNRS, UMR 6074 IRISA)

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