Demo Data from EDBT 2026 / reviewers in the wild / expert
Thanos Typaldos
dblp:437/7025
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 since 2021Theory of computation · 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 |
Network security · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Software testing · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security
protocol state fuzzing |
1.0 | 1 | 2026 | PSF: A Generic and Extensible Framework for Protocol State Fuzzing · CAV (1) 2026 |
Methods — techniques the papers use, named apart from their topics
state machine learning · 2.0fuzzing · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | PSF: A Generic and Extensible Framework for Protocol State FuzzingabstractAbstract In recent years, protocol state fuzzing has emerged as an effective technique to analyze and test network protocol implementations, uncovering numerous security vulnerabilities, bugs, and non-conformance issues in them. This paper presents ProtocolState-Fuzzer ( PSF ), an open source, generic, modular, and extensible framework for state machine learning and testing of network protocol implementations. We describe the distinctive features and support that PSF offers, its architecture and implementation, and briefly overview the protocol-specific state fuzzers that currently use PSF as their basis. Konstantinos Sagonas, Thanos Typaldos |
CAV (1) | 2 |