Demo Data from EDBT 2026 / reviewers in the wild / expert
Seyed Mohammad Mehdi Mirnajafizadeh
dblp:381/1578
· DBLP profile ↗
3ranked-venue papers
2as first author
3since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 1 first-author · 2 since 2021Computer networks · 1 · 1 first-author · 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
3 papers |
Network security · 100% | |
| Computer networks
2 papers |
Network measurement and analytics · 61% Software-defined and programmable networks · 39% | |
| Artificial intelligence
1 paper |
Generative modeling · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security › intrusion detection and prevention
intrusion detection |
1.8 | 2 | 2026 | Defeating Slow-and-Low Threats via Diffusion Model-based Generative Inference · NSDI 2026 Enhancing Network Attack Detection with Distributed and In-Network Data Collection System · USENIX Security Symposium 2024 |
Network measurement and analytics › packet capture
network data collection |
0.8 | 1 | 2024 | Enhancing Network Attack Detection with Distributed and In-Network Data Collection System · USENIX Security Symposium 2024 |
Network security › intrusion detection and prevention › intrusion detection
network intrusion detection |
0.8 | 1 | 2024 | Enhancing Network Attack Detection with Distributed and In-Network Data Collection System · USENIX Security Symposium 2024 |
Software-defined and programmable networks
programmable data plane |
0.5 | 2 | 2025 | SketchFeature: High-Quality Per-Flow Feature Extractor Towards Security-Aware Data Plane · NDSS 2025 Enhancing Network Attack Detection with Distributed and In-Network Data Collection System · USENIX Security Symposium 2024 |
Machine learning › Generative modeling
diffusion model |
0.3 | 1 | 2026 | Defeating Slow-and-Low Threats via Diffusion Model-based Generative Inference · NSDI 2026 |
Methods — techniques the papers use, named apart from their topics
generative inference · 2.0diffusion model · 2.0sketching · 1.7distributed data collection · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Defeating Slow-and-Low Threats via Diffusion Model-based Generative Inference
Seyed Mohammad Mehdi Mirnajafizadeh, Prashant Khanduri, DaeHun Nyang, RhongHo Jang |
NSDI | 1 |
| 2025 | SketchFeature: High-Quality Per-Flow Feature Extractor Towards Security-Aware Data Plane
Sian Kim, Seyed Mohammad Mehdi Mirnajafizadeh, Bara Kim, RhongHo Jang, DaeHun Nyang |
NDSS | 2 |
| 2024 | Enhancing Network Attack Detection with Distributed and In-Network Data Collection System
Seyed Mohammad Mehdi Mirnajafizadeh, Ashwin Raam Sethuram, David Mohaisen, DaeHun Nyang, RhongHo Jang |
USENIX Security Symposium | 1 |