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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P4DDPI: Securing P4-Programmable Data Plane Networks via DNS Deep...

Ali AlSabeh (University of South Carolina), Elie Kfoury (University of South Carolina), Jorge Crichigno (University of South Carolina) and Elias Bou-Harb (University of Texas at San Antonio)

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Lightning Community Shout-Outs to:

(1) Jonathan Petit, Secure ML Performance Benchmark (Qualcomm) (2) David Balenson, The Road to Future Automotive Research Datasets: PIVOT Project and Community Workshop (USC Information Sciences Institute) (3) Jeremy Daily, CyberX Challenge Events (Colorado State University) (4) Mert D. Pesé, DETROIT: Data Collection, Translation and Sharing for Rapid Vehicular App Development (Clemson University) (5) Ning…

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Detection and Resolution of Control Decision Anomalies

Prof. Kang Shin (Kevin and Nancy O'Connor Professor of Computer Science, and the Founding Director of the Real-Time Computing Laboratory (RTCL) in the Electrical Engineering and Computer Science Department at the University of Michigan)

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He-HTLC: Revisiting Incentives in HTLC

Sarisht Wadhwa (Duke University), Jannis Stoeter (Duke University), Fan Zhang (Duke University, Yale University), Kartik Nayak (Duke University)

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