Demo Data from EDBT 2026 / reviewers in the wild / expert
Abdulellah Alsaheel
dblp:301/5823
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 1 first-author · 2 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
2 papers |
Cyber-physical and IoT security · 38% Network security · 38% Digital forensics and information hiding · 25% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Program analysis · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security › intrusion detection and prevention › intrusion detection
attack detection |
0.8 | 1 | 2024 | SAIN: Improving ICS Attack Detection Sensitivity via State-Aware Invariants · USENIX Security Symposium 2024 |
Cyber-physical and IoT security
industrial control system security |
0.8 | 1 | 2024 | SAIN: Improving ICS Attack Detection Sensitivity via State-Aware Invariants · USENIX Security Symposium 2024 |
Digital forensics and information hiding
attack investigation |
0.5 | 1 | 2021 | ATLAS: A Sequence-based Learning Approach for Attack Investigation · USENIX Security Symposium 2021 |
Embedded and real-time systems
cyber-physical system platforms |
0.2 | 1 | 2024 | SAIN: Improving ICS Attack Detection Sensitivity via State-Aware Invariants · USENIX Security Symposium 2024 |
Program analysis
provenance analysis |
0.1 | 1 | 2021 | ATLAS: A Sequence-based Learning Approach for Attack Investigation · USENIX Security Symposium 2021 |
Methods — techniques the papers use, named apart from their topics
state-aware invariants · 1.5sequence-based learning · 1.0graph learning · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | SAIN: Improving ICS Attack Detection Sensitivity via State-Aware Invariants
Syed Ghazanfar, Muslum Ozgur Ozmen, Abdulellah Alsaheel, Arslan Khan, Z. Berkay Celik, Dongyan Xu |
USENIX Security Symposium | 3 |
| 2021 | ATLAS: A Sequence-based Learning Approach for Attack Investigation
Abdulellah Alsaheel, Yuhong Nan, Shiqing Ma, Gregory Walkup, Z. Berkay Celik, Xiangyu Zhang 0001, Dongyan Xu |
USENIX Security Symposium | 1 |