Tamara Bondar, Hala Assal, AbdelRahman Abdou (Carleton University)

In efforts to understand the reasons behind Internet-connected devices remaining vulnerable for a long time, previous literature analyzed the effectiveness of large-scale vulnerability notifications on remediation rates. Herein we focus on the perspective of system administrators. Through an online survey study with 89 system administrators worldwide, we investigate factors affecting their decisions to remediate or ignore a security vulnerability. We use Censys to find servers with vulnerable public-facing services, extract the abuse contact information from WHOIS, and email an invitation to fill out the survey. We found no evidence that awareness of the existence of a vulnerability affects remediation plans, which explains the consistently small remediation rates following notification campaigns conducted in previous research. More interestingly, participants did not agree on a specific factor as the primary cause for lack of remediation. Many factors appeared roughly equally important, including backwards compatibility, technical knowledge, available resources, and motive to remediate.

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Hope of Delivery: Extracting User Locations From Mobile Instant...

Theodor Schnitzler (Research Center Trustworthy Data Science and Security, TU Dortmund, and Ruhr-Universität Bochum), Katharina Kohls (Radboud University), Evangelos Bitsikas (Northeastern University and New York University Abu Dhabi), Christina Pöpper (New York University Abu Dhabi)

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Securing Federated Sensitive Topic Classification against Poisoning Attacks

Tianyue Chu (IMDEA Networks Institute), Alvaro Garcia-Recuero (IMDEA Networks Institute), Costas Iordanou (Cyprus University of Technology), Georgios Smaragdakis (TU Delft), Nikolaos Laoutaris (IMDEA Networks Institute)

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Work-in-Progress: Uncovering Dark Patterns: A Longitudinal Study of Cookie...

Zihan Qu (Johns Hopkins University), Xinyi Qu (University College London), Xin Shen, Zhen Liang, and Jianjia Yu (Johns Hopkins University)

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Preventing SIM Box Fraud Using Device Model Fingerprinting

BeomSeok Oh (KAIST), Junho Ahn (KAIST), Sangwook Bae (KAIST), Mincheol Son (KAIST), Yonghwa Lee (KAIST), Min Suk Kang (KAIST), Yongdae Kim (KAIST)

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