Demo Data from EDBT 2026 / reviewers in the wild / expert
Fuchao Tan
dblp:397/3353
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 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.
| Computer networks
1 paper |
Network measurement and analytics · 87% Internet architecture and protocols · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network measurement and analytics › active measurement
active probing |
0.8 | 1 | 2024 | Luori: Active Probing and Evaluation of Internet-Wide IPv6 Fully Responsive Prefixes · ICNP 2024 |
Network measurement and analytics › internet measurement
IPv6 measurement |
0.8 | 1 | 2024 | Luori: Active Probing and Evaluation of Internet-Wide IPv6 Fully Responsive Prefixes · ICNP 2024 |
Internet architecture and protocols
IPv6 |
0.2 | 1 | 2024 | Luori: Active Probing and Evaluation of Internet-Wide IPv6 Fully Responsive Prefixes · ICNP 2024 |
Methods — techniques the papers use, named apart from their topics
reinforcement learning · 0.8dynamic tree search · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Do Not Fall Into the Trap: Efficiently Discovering IPv6 Fully Responsive Prefixes in the Wild
Lin He 0004, Chentian Wei, Daguo Cheng, Qilei Yin, Boran Jin, Zhaoan Wang, Xiaoteng Pan, Sixu Zhou, Ying Liu 0024, Shenglin Zhang, Fuchao Tan, Wenmao Liu |
IEEE Trans. Netw. | 11 |
| 2024 | Luori: Active Probing and Evaluation of Internet-Wide IPv6 Fully Responsive PrefixesabstractWith the large-scale deployment and application of IPv6, IPv6 network measurements will become increasingly important. However, a special type of IPv6 prefix called Fully Responsive Prefix (FRP) is having a significant impact on IPv6 measurement campaigns, which is defined as all addresses under a prefix responding to scans. Obviously, there cannot be a real responder behind each of these addresses. To reveal the current status and impact of Internet-wide IPv6 FRPs, we propose for the first time an active probing method for Internet-wide IPv6 FRPs, Luori, which transforms the active probing process under IPv6 huge prefix space (potential range of prefix presence) into a dynamic search process in a tree based on reinforcement learning, achieving efficient probing of arbitrary routing prefixes. The evaluation results show that Luori found 31.7K largest FRPs in a single Internet-wide probing with 11 M budget, covering$1.5 \times 10^{30}$address space, which is$10^{6} \times$that of existing methods. More importantly, after six months of Internet-wide probing, we have found 516 K largest FRPs, which covers$1.3 \times 10^{33}$address space and 795 ASes, making it the largest publicly known FRP list. Based on this list, we screen out$20 \%$of the addresses covered by FRPs from a well-known IPv6 active address dataset. Furthermore, we further analyze and find that the distribution of these FRPs is extensive and their implementation methods are diverse, which can provide beneficial references for the practical application of FRPs. We also make this list publicly available and maintain it long-term for use and study by relevant researchers. Daguo Cheng, Lin He 0004, Chentian Wei, Qilei Yin, Boran Jin, Zhaoan Wang, Xiaoteng Pan, Sixu Zhou, Ying Liu 0024, Shenglin Zhang, Fuchao Tan, Wenmao Liu |
ICNP | 11 |