Demo Data from EDBT 2026 / reviewers in the wild / expert
Daniel Ronzani
dblp:69/4886
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1Security and privacy · 1
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 |
Network security · 56% Privacy and data protection · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security
anonymity networks |
0.4 | 1 | 2019 | Deniable Upload and Download via Passive Participation · NSDI 2019 |
Privacy and data protection › privacy-enhancing technologies
deniable communication |
0.4 | 1 | 2019 | Deniable Upload and Download via Passive Participation · NSDI 2019 |
Network security
traffic analysis |
0.1 | 1 | 2019 | Deniable Upload and Download via Passive Participation · NSDI 2019 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Deniable Upload and Download via Passive Participation
David M. Sommer 0001, Aritra Dhar, Luka Malisa, Esfandiar Mohammadi, Daniel Ronzani, Srdjan Capkun |
NSDI | 5 |
| 2017 | CoverUp: Privacy Through "Forced" Participation in Anonymous Communication NetworksabstractMany privacy-enhancing technologies, in particular anonymous communication networks (ACNs) as a key building block, suffer from a lack of a sufficient number of participants. Without high user participation, ACNs are vulnerable to traffic analysis attacks. The only ACN with a high number of participants (around 1.5 million users) is Tor. Yet, Tor is prone to traffic analysis attacks traffic pattern attacks. While other ACNs have been proposed that are even secure against global attackers, they are not scalable and suffer from a low number of participants, since even a perfect ACN can at most hide a user among all participating users. These ACNs are in a vicious circle: the lack of participants leads to low degree of anonymity, and a low degree of anonymity makes these ACNs unattractive for users. In this work, we break this vicious cycle by studying the question: Can an anonymous communication network be strengthened by "forced" participation? What privacy guarantees and performance can such an ACN provide? We develop CoverUp, a system that "forces" visitors of highly accessed websites (entry servers) to become involuntary participants of an ACN. CoverUp triggers users to participate in a centralized, constant-rate mix by leveraging basic functionality of their browsers to execute (JavaScript) code served by the entry servers. Candidates for entry servers could be universities or news sites. They would let a distinct CoverUp server provide (via an iframe) JavaScript code to the end-users' browsers, which in turn makes them participate in the ACN via a mix server. Visitors of these entry servers' websites become (involuntary) participants of an ACN, creating cover traffic for voluntary participants. For voluntary participants, we developed a browser extension that renders their CoverUp requests indistinguishable from the cover traffic of involuntary participants. David M. Sommer 0001, Aritra Dhar, Luka Malisa, Esfandiar Mohammadi, Daniel Ronzani, Srdjan Capkun |
AsiaCCS | 5 |