Demo Data from EDBT 2026 / reviewers in the wild / expert
Moti Geva
dblp:60/4672 · also Mordechai Geva
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 1 first-author
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 |
Internet architecture and protocols · 100% | |
| Network and information security
1 paper |
Network security · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet architecture and protocols
quality of service |
0.1 | 1 | 2011 | QoSoDoS: If you can't beat them, join them! · INFOCOM 2011 |
Network security › attack strategy
denial-of-service attack |
0.1 | 1 | 2011 | QoSoDoS: If you can't beat them, join them! · INFOCOM 2011 |
Internet architecture and protocols
best-effort networks |
0.0 | 1 | 2011 | QoSoDoS: If you can't beat them, join them! · INFOCOM 2011 |
Methods — techniques the papers use, named apart from their topics
packet scheduling · 0.2multiple transmissions · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Backward traffic throttling to mitigate bandwidth floodsabstractWe present Backward Traffic Throttling (BTT), an efficient, decentralized mechanism for congestion and bandwidth-flooding attacks mitigation. Upon congestion, BTT employs three basic mechanisms to throttle excessive traffic, namely: prioritize legitimate flows, shape traffic, and request upstream BTT nodes to similarly prioritize and shape traffic. Flow prioritizing parameters are determined independently by each BTT server, based on typical traffic estimations. BTT is easily deployed: it requires no changes to routers, and does not modify traffic. Instead, BTT configures routers' queuing discipline and traffic shapers. Both simulation and testbed experiments were performed to asses the effectiveness of BTT during distributed denial-of-service (DDoS) attacks. Results show that even limited BTT deployment alleviates attacks damage and allows legitimate TCP traffic to sustain communication, whereas larger deployments maintain larger portions of the original bandwidth. Yehoshua Gev, Moti Geva, Amir Herzberg |
GLOBECOM | 2 |
| 2011 | QoSoDoS: If you can't beat them, join them!abstractWe present QoSoDoS, a protocol that ensures QoS over a DoS-prone (Best-Effort) network. QoSoDoS ensures timely delivery of time sensitive messages over unreliable network, susceptible to high congestion and network flooding DoS attacks. QoSoDoS is based on scheduling multiple transmissions of packets while attempting to minimize overhead and load, and avoiding self-creation of DoS. We present a model and initial empirical results of QoSoDoS implementation. Our results show that under typical scenarios, QoSoDoS can handle high congestion and DoS attacks quite well. Moti Geva, Amir Herzberg |
INFOCOM | 1 |