Demo Data from VLDB 2026 / reviewers in the wild / expert
Alexander Männel 0002
dblp:244/4161-2
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0009-5799-3350ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Computer 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.
| Computer networks
1 paper |
Network measurement and analytics · 67% Internet of things and sensor networks · 33% | |
| Network and information security
1 paper |
Network security · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › sensor data management
data integrity |
0.9 | 1 | 2025 | Lessons Learned from Operating a Large Network Telescope · SIGCOMM 2025 |
Network measurement and analytics › internet measurement
internet background radiation |
0.9 | 1 | 2025 | Lessons Learned from Operating a Large Network Telescope · SIGCOMM 2025 |
Network measurement and analytics
passive measurement |
0.9 | 1 | 2025 | Lessons Learned from Operating a Large Network Telescope · SIGCOMM 2025 |
Methods — techniques the papers use, named apart from their topics
honeypot comparison · 1.7darknet monitoring · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Lessons Learned from Operating a Large Network TelescopeabstractNetwork telescopes (aka darknets) collect unsolicited Internet traffic (aka Internet background radiation or IBR), which includes benign and malicious scanning as well as artifacts of spoofed denial-of-service attacks and misconfigured software and hosts. Analysis of this traffic has revealed macroscopic insights into security-related events and global network dynamics such as outages. Operating a large-scale network telescope is challenging but often taken for granted, more so than in more mature scientific disciplines. We offer the first study documenting our experiences operating the UCSD Network Telescope, the largest and longest-operating network telescope supporting scientific research. We provide background on the history of the telescope, and focus on increasing operational challenges as the underlying network evolves. We develop and apply techniques to leverage third-party scanning activity to validate the integrity of the data, and to discover misconfigurations in the instrumentation. These insights are crucial for understanding measurement results, which we illustrate using concrete examples. We discuss how our findings generalize to support the expanding ecosystem of other passive techniques, such as honeypots, to track security phenomena. Alexander Männel 0002, Jonas Mücke, K. C. Claffy, Max Gao, Ricky K. P. Mok, Marcin Nawrocki, Thomas C. Schmidt, Matthias Wählisch |
SIGCOMM | 1 |