The Age of DDoScovery: An Empirical Comparison of Industry and Academic DDoS Assessments
Raphael Hiesgen, Marcin Nawrocki, Marinho Barcellos, Daniel Kopp,, Oliver Hohlfeld, Echo Chan, Roland Dobbins, Christian Doerr, Christian, Rossow, Daniel R. Thomas, Mattijs Jonker, Ricky Mok, Xiapu Luo, John, Kristoff, Thomas C. Schmidt, Matthias W\"ahlisch, kc claffy

TL;DR
This paper compares industry and academic assessments of DDoS attack trends, highlighting discrepancies, proposing a new collaborative method, and emphasizing the importance of validation for improving Internet security understanding.
Contribution
It introduces a novel collaborative approach for data sharing between industry and academia to identify gaps and validate DDoS attack data, fostering better convergence of insights.
Findings
Discrepancies exist between industry reports and academic data sources.
A new method of sharing aggregated target lists reveals visibility gaps.
Analysis shows a reported decline in reflection-amplification attacks in 2021-2022.
Abstract
Motivated by the impressive but diffuse scope of DDoS research and reporting, we undertake a multistakeholder (joint industry-academic) analysis to seek convergence across the best available macroscopic views of the relative trends in two dominant classes of attacks - direct-path attacks and reflection-amplification attacks. We first analyze 24 industry reports to extract trends and (in)consistencies across observations by commercial stakeholders in 2022. We then analyze ten data sets spanning industry and academic sources, across four years (2019-2023), to find and explain discrepancies based on data sources, vantage points, methods, and parameters. Our method includes a new approach: we share an aggregated list of DDoS targets with industry players who return the results of joining this list with their proprietary data sources to reveal gaps in visibility of the academic data sources.…
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