Christopher Bennett, AbdelRahman Abdou, and Paul C. van Oorschot (School of Computer Science, Carleton University, Canada)

Engines that scan Internet-connected devices allow for fast retrieval of useful information regarding said devices, and their running services. Examples of such engines include Censys and Shodan. We present a snapshot of our in-progress effort towards the characterization and systematic evaluation of such engines, herein focusing on results obtained from an empirical study that sheds light on several aspects. These include: the freshness of a result obtained from querying Censys and Shodan, the resources they consume from the scanned devices, and several interesting operational differences between engines observed from the network edge. Preliminary results confirm that the information retrieved from both engines can reflect updates within 24 hours, which aligns with implicit usage expectations in recent literature. The results also suggest that the consumed resources appear insignificant for common Internet applications, e.g., one full application-layer connection (banner grab) per port, per day. Results so far highlight the value of such engines to the research community

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Panel – Experiment Artifact Sharing: Challenges and Solutions

Moderator: Laura Tinnel (SRI International) Panelists: Clémentine Maurice (CNRS, IRIS); Martin Rosso (Eindhoven University of Technology); Eric Eide (U. Utah)

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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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Work-in-progress: RegTrack: Uncovering Global Disparities in Third-party Advertising and...

Tanya Prasad (University of British Columbia), Rut Vora (University of British Columbia), Soo Yee Lim (University of British Columbia), Nguyen Phong Hoang (University of British Columbia), Thomas Pasquier (University of British Columbia)

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