Demo Data from EDBT 2026 / reviewers in the wild / expert
Ishant Kumar Siddhrau
dblp:195/7419
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 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 |
Software-defined and programmable networks · 56% Network management and operations · 44% | |
| Network and information security
1 paper |
Network security · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network management and operations › network control
overload control |
0.6 | 1 | 2022 | SDNShield: NFV-Based Defense Framework Against DDoS Attacks on SDN Control Plane · IEEE/ACM Trans. Netw. 2022 |
Software-defined and programmable networks
SDN control plane |
0.6 | 1 | 2022 | SDNShield: NFV-Based Defense Framework Against DDoS Attacks on SDN Control Plane · IEEE/ACM Trans. Netw. 2022 |
Network security › attack resilience › attack mitigation › denial-of-service defense
DDoS defense |
0.6 | 1 | 2022 | SDNShield: NFV-Based Defense Framework Against DDoS Attacks on SDN Control Plane · IEEE/ACM Trans. Netw. 2022 |
Software-defined and programmable networks
network function virtualization |
0.2 | 1 | 2022 | SDNShield: NFV-Based Defense Framework Against DDoS Attacks on SDN Control Plane · IEEE/ACM Trans. Netw. 2022 |
Methods — techniques the papers use, named apart from their topics
statistical flow identification · 1.1TCP handshake verification · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | SDNShield: NFV-Based Defense Framework Against DDoS Attacks on SDN Control PlaneabstractSoftware-defined networking (SDN) is increasingly popular in today’s information technology industry, but existing SDN control plane is insufficiently scalable to support on-demand, high-frequency flow requests. Weaknesses along SDN control paths can be exploited by malicious third parties to launch distributed denial-of-service (DDoS) attacks against the SDN control plane. Recently proposed solutions only partially solve the problem, by protecting either the SDN network edges or the centralized controller. We propose SDNShield, a solution based on emerging network function virtualization (NFV) technologies, which enforces more comprehensive defense against potential DDoS attacks on SDN control plane. SDNShield incorporates a three-stage overload control scheme. The first stage statistically identifies legitimate flows with low complexity and performance overhead. The second stage further performs in-depth TCP handshake verification to ensure good flows are eventually served. The third stage intellectually salvages the misclassified legitimate flows that are falsely dropped from the first two stages. Prototype tests and real data-driven simulation results show that SDNShield can achieve high resilience against brute-force attacks, and maintain good flow-level service quality at the same time. Kuan-yin Chen, Sen Liu 0002, Yang Xu 0010, Ishant Kumar Siddhrau, Zehua Guo 0001, H. Jonathan Chao |
IEEE/ACM Trans. Netw. | 4 |