Demo Data from EDBT 2026 / reviewers in the wild / expert
Rémi Coudert
dblp:345/6548
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-4784-568XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Web and mobile security · 44% Systems and software security · 44% Cryptographic primitives and cryptanalysis · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security
checksum verification |
0.7 | 1 | 2023 | An Empirical Study of the Usage of Checksums for Web Downloads · WWW 2023 |
Web and mobile security
web security |
0.7 | 1 | 2023 | An Empirical Study of the Usage of Checksums for Web Downloads · WWW 2023 |
Cryptographic primitives and cryptanalysis
hash functions |
0.2 | 1 | 2023 | An Empirical Study of the Usage of Checksums for Web Downloads · WWW 2023 |
Methods — techniques the papers use, named apart from their topics
snowball sampling · 0.7active learning · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | An Empirical Study of the Usage of Checksums for Web DownloadsabstractChecksums, typically provided on webpages and generated from cryptographic hash functions (e.g., MD5, SHA256) or signature schemes (e.g., PGP), are commonly used on websites to enable users to verify that the files they download have not been tampered with when stored on possibly untrusted servers. In this paper, we elucidate the current practices regarding the usage of checksums for web downloads (hash functions used, visibility and validity of checksums, type of websites and files, etc.), as this has been mostly overlooked so far. Using a snowball-sampling strategy for the 200000 most popular domains of the Web, we first crawled a dataset of 8.5M webpages, from which we built, through an active-learning approach, a unique dataset of 277 diverse webpages that contain checksums. Our analysis of these webpages reveals interesting findings about the usage of checksums. For instance, it shows that checksums are used mostly to verify program files, that weak hash functions are frequently used, and that a non-negligible proportion of the checksums provided on webpages do not match that of their associated files. Finally, we complement our analysis with a survey of the webmasters of the considered webpages (N = 26), thus shedding light on the reasons behind the checksum-related choices they make. Gaël Bernard, Rémi Coudert, Bertil Chapuis, Kévin Huguenin |
WWW | 2 |