Demo Data from SIGIR 2026 / reviewers in the wild / expert
Simon Wörner
dblp:248/1623
· DBLP profile ↗
9ranked-venue papers
0as first author
6since 2021 · last 2025
0009-0006-8480-8016ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 9 · 6 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
9 papers |
Systems and software security · 93% Cyber-physical and IoT security · 7% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Hardware reliability and fault tolerance · 62% Embedded and real-time systems · 38% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% |
Topics — the 13 heaviest of 15, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security
vulnerability discovery |
2.9 | 6 | 2025 | AidFuzzer: Adaptive Interrupt-Driven Firmware Fuzzing via Run-Time State Recognition · USENIX Security Symposium 2025 Protocol-Aware Firmware Rehosting for Effective Fuzzing of Embedded Network Stacks · CCS 2025 Nyx: Greybox Hypervisor Fuzzing using Fast Snapshots and Affine Types · USENIX Security Symposium 2021 |
Systems and software security › vulnerability discovery
fuzzing |
2.6 | 4 | 2025 | AidFuzzer: Adaptive Interrupt-Driven Firmware Fuzzing via Run-Time State Recognition · USENIX Security Symposium 2025 Protocol-Aware Firmware Rehosting for Effective Fuzzing of Embedded Network Stacks · CCS 2025 Nyx: Greybox Hypervisor Fuzzing using Fast Snapshots and Affine Types · USENIX Security Symposium 2021 |
Systems and software security › vulnerability discovery › fuzzing
firmware fuzzing |
2.4 | 3 | 2025 | AidFuzzer: Adaptive Interrupt-Driven Firmware Fuzzing via Run-Time State Recognition · USENIX Security Symposium 2025 Protocol-Aware Firmware Rehosting for Effective Fuzzing of Embedded Network Stacks · CCS 2025 Hoedur: Embedded Firmware Fuzzing using Multi-Stream Inputs · USENIX Security Symposium 2023 |
Systems and software security › vulnerability discovery › fuzzing
hypervisor fuzzing |
0.9 | 2 | 2021 | Nyx: Greybox Hypervisor Fuzzing using Fast Snapshots and Affine Types · USENIX Security Symposium 2021 HYPER-CUBE: High-Dimensional Hypervisor Fuzzing · NDSS 2020 |
Systems and software security
exploitation mitigation |
0.9 | 1 | 2025 | Space RADSIM: Binary-Agnostic Fault Injection to Evaluate Cosmic Radiation Impact on Exploit Mitigation Techniques in Space · SP 2025 |
Cyber-physical and IoT security
firmware rehosting |
0.9 | 1 | 2025 | GDMA: Fully Automated DMA Rehosting via Iterative Type Overlays · USENIX Security Symposium 2025 |
Hardware reliability and fault tolerance › radiation effects
radiation-induced faults |
0.9 | 1 | 2025 | Space RADSIM: Binary-Agnostic Fault Injection to Evaluate Cosmic Radiation Impact on Exploit Mitigation Techniques in Space · SP 2025 |
Systems and software security › vulnerability discovery › fuzzing
greybox fuzzing |
0.5 | 1 | 2021 | Nyx: Greybox Hypervisor Fuzzing using Fast Snapshots and Affine Types · USENIX Security Symposium 2021 |
Systems and software security
virtualization security |
0.4 | 1 | 2020 | HYPER-CUBE: High-Dimensional Hypervisor Fuzzing · NDSS 2020 |
Systems and software security › vulnerability discovery › fuzzing
grammar-based fuzzing |
0.4 | 1 | 2019 | GRIMOIRE: Synthesizing Structure while Fuzzing · USENIX Security Symposium 2019 |
Embedded and real-time systems › embedded software
firmware |
0.3 | 1 | 2025 | AidFuzzer: Adaptive Interrupt-Driven Firmware Fuzzing via Run-Time State Recognition · USENIX Security Symposium 2025 |
Embedded and real-time systems
satellite systems |
0.3 | 1 | 2025 | Space RADSIM: Binary-Agnostic Fault Injection to Evaluate Cosmic Radiation Impact on Exploit Mitigation Techniques in Space · SP 2025 |
Operating systems › virtualization
hypervisor |
0.1 | 1 | 2020 | HYPER-CUBE: High-Dimensional Hypervisor Fuzzing · NDSS 2020 |
Methods — techniques the papers use, named apart from their topics
state recognition · 1.7single event error simulation · 1.7protocol-aware fuzzing · 1.7interrupt-driven fuzzing · 1.7fault injection · 1.7emulation · 1.7fuzzing · 1.5iterative type overlays · 0.9automated rehosting · 0.9embedded firmware analysis · 0.7high-dimensional input generation · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Protocol-Aware Firmware Rehosting for Effective Fuzzing of Embedded Network StacksabstractOne of the biggest attack surfaces of embedded systems is their network interfaces, which enable communication with other devices.Unlike their general-purpose counterparts, embedded systems are designed for specialized use cases, resulting in unique and diverse communication stacks.Unfortunately, current approaches for evaluating the security of these embedded network stacks require manual effort or access to hardware, and they generally focus only on small parts of the embedded system.A promising alternative is firmware rehosting, which enables fuzz testing of the entire firmware by generically emulating the physical hardware.However, existing rehosting methods often struggle to meaningfully explore network stacks due to their complex, multi-layered input formats.This limits their ability to uncover deeply nested software faults.To address this problem, we introduce a novel method to automatically detect and handle the use of network protocols in firmware called Pemu.By automatically deducing the available network protocols, Pemu can transparently generate valid network packets that encapsulate fuzzing data, allowing the fuzzing input to flow directly into deeper layers of the firmware logic.Our approach thus enables a deeper, more targeted, and layer-by-layer analysis of firmware components that were previously difficult or impossible to test.Our evaluation demonstrates that Pemu consistently improves the code coverage of three existing rehosting tools for embedded network stacks.Furthermore, our fuzzer rediscovered several known vulnerabilities and identified five previously unknown software faults, highlighting its effectiveness in uncovering deeply nested bugs in network-exposed code. Moritz Bley, Tobias Scharnowski, Simon Wörner, Moritz Schloegel, Thorsten Holz |
CCS | 3 |
| 2025 | Space RADSIM: Binary-Agnostic Fault Injection to Evaluate Cosmic Radiation Impact on Exploit Mitigation Techniques in SpaceabstractOver the past decade, the proliferation of Low Earth Orbit satellites, driven by lower launch costs, has revolutionized space applications, from communication to earth observation and weather forecasting. This trend also introduced a shift in hardware: Specialized radiation-resistant hardware was displaced by cheaper commercial off-the-shelf components. As a critical part of modern infrastructure, satellites attract cyber attacks and are subject to terrestrial and space-specific threats, necessitating effective security measures. However, cryptographic protections and exploit mitigations remain limited in productive satellite firmware. Academic research on satellite security only focuses on cryptographic protections, which raises the question if exploit mitigation strategies are suitable for satellites or impacted by space-specific factors, such as cosmic radiation. In this paper, we present the first systematic analysis of 381 small satellite designs, identifying the prevalence of commercial off-the-shelf hardware platforms in space projects and the availability of ready-to-use exploit mitigation strategies for satellite platforms. Since mitigations are seemingly available, we explore the effects of cosmic radiation on software-based exploit mitigations by implementing RADSIM, an automated tool for simulating single event errors (bitflips). Our study simulated over 21 billion faults in differently hardened satellite firmware binaries to assess the fault tolerance of exploit mitigation strategies in the presence of cosmic radiation. Our results reveal that some mitigations barely impact the fault tolerance, while others increase the error probability of hardened satellite firmware by up to 19%. These findings provide novel insights into the tradeoffs between exploit mitigation effectiveness and radiation resilience, offering guidance to satellite developers on optimizing security in space-based systems. Johannes Willbold, Tobias Cloosters, Simon Wörner, Felix Buchmann, Moritz Schloegel, Lucas Davi, Thorsten Holz |
SP | 3 |
| 2025 | GDMA: Fully Automated DMA Rehosting via Iterative Type Overlays
Tobias Scharnowski, Simeon Hoffmann, Moritz Bley, Simon Wörner, Daniel Klischies, Felix Buchmann, Nils Ole Tippenhauer, Thorsten Holz, Marius Muench |
USENIX Security Symposium | 4 |
| 2025 | AidFuzzer: Adaptive Interrupt-Driven Firmware Fuzzing via Run-Time State Recognition
Qinying Wang, Tobias Scharnowski, Simon Wörner, Thorsten Holz |
USENIX Security Symposium | 5 |
| 2023 | Hoedur: Embedded Firmware Fuzzing using Multi-Stream Inputs
Tobias Scharnowski, Simon Wörner, Felix Buchmann, Nils Bars, Moritz Schloegel, Thorsten Holz |
USENIX Security Symposium | 2 |
| 2021 | Nyx: Greybox Hypervisor Fuzzing using Fast Snapshots and Affine Types
Sergej Schumilo, Cornelius Aschermann, Ali Abbasi 0002, Simon Wörner, Thorsten Holz |
USENIX Security Symposium | 4 |
| 2020 | HYPER-CUBE: High-Dimensional Hypervisor Fuzzing
Sergej Schumilo, Cornelius Aschermann, Ali Abbasi 0002, Simon Wörner, Thorsten Holz |
NDSS | 4 |
| 2020 | AURORA: Statistical Crash Analysis for Automated Root Cause Explanation
Tim Blazytko, Moritz Schloegel, Cornelius Aschermann, Ali Abbasi 0002, Joel Frank, Simon Wörner, Thorsten Holz |
USENIX Security Symposium | 6 |
| 2019 | GRIMOIRE: Synthesizing Structure while Fuzzing
Tim Blazytko, Cornelius Aschermann, Moritz Schloegel, Ali Abbasi 0002, Sergej Schumilo, Simon Wörner, Thorsten Holz |
USENIX Security Symposium | 6 |