Demo Data from VLDB 2026 / reviewers in the wild / expert
Yan Liu 0101
dblp:150/4295-101
· DBLP profile ↗
3ranked-venue papers
3as first author
3since 2021 · last 2026
0009-0007-0162-9168ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 3 first-author · 3 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
1 paper |
Network security · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% | |
| Computer networks
1 paper |
Network management and operations · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security
cyber deception |
1.0 | 1 | 2026 | A Cloudified Dynamic Defense Framework for Cyber Deception as a Service · INFOCOM 2026 |
Cloud and datacenter computing
cloud security |
1.0 | 1 | 2026 | A Cloudified Dynamic Defense Framework for Cyber Deception as a Service · INFOCOM 2026 |
Network management and operations › network configuration
security configuration |
0.3 | 1 | 2026 | A Cloudified Dynamic Defense Framework for Cyber Deception as a Service · INFOCOM 2026 |
Methods — techniques the papers use, named apart from their topics
dynamic defense · 3.0cloudification · 3.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Enhancing In-Network Distributed Traffic Analysis Models with Implicit Topology Embedding
Yan Liu 0101, Sujie Shao, Shao-Yong Guo 0001, Zhibin Zang |
ICC | 1 |
| 2026 | A Cloudified Dynamic Defense Framework for Cyber Deception as a Service
Yan Liu 0101, Sujie Shao, Shao-Yong Guo 0001, Zhibin Zang |
INFOCOM | 1 |
| 2025 | In-Network DDoS Mitigation Mechanism for Vehicle Road Cooperation Network With Victim-Centric ApproachabstractVehicle road cooperation (VRC) services closely related to personal safety impose stringent requirements on reliability and real-time performance. However, the growing trend of vehicle to network (V2N) connections has significantly intensified the threat of distributed Denial of Service (DDoS) to the end-cloud communication links. To address this challenge, this article introduces a comprehensive DDoS defense architecture for VRC, named in-network DDoS-oriented Balancer, Inspector, and Filter (IDBIF). Leveraging programmable switches, IDBIF adopts an in-network mode to dynamically mitigate volumetric DDoS traffic in real-time, which coordinates three data plane functions for traffic processing: 1) load balancing; 2) packet inspection; and 3) traffic filtering. Our work faces the starved data plane resources and establishes the problem model for high reliability requirements of VRC services when subjected to DDoS attacks. Furthermore, we developed a multiagent hierarchical structure policy gradient (MAHSPG) algorithm that combines the inherent characteristics of DDoS attacks to tackle the runtime deployment of high-dimensional and heterogeneous defense function chains. Simulation experiment results show that the proposed approach alleviates the data plane resource bottleneck and improves the DDoS defense effect by 24.80%, highlighting its advantages in ensuring reliable VRC services. Yan Liu 0101, Sujie Shao, Shao-Yong Guo 0001, Zhibin Zang, Feng Qi 0004 |
IEEE Internet Things J. | 1 |