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Moti Geva

dblp:60/4672 · also Mordechai Geva · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Internet architecture and protocols
quality of service
0.112011
QoSoDoS: If you can't beat them, join them! · INFOCOM 2011
Network security › attack strategy
denial-of-service attack
0.112011
QoSoDoS: If you can't beat them, join them! · INFOCOM 2011
Internet architecture and protocols
best-effort networks
0.012011
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
YearPublicationVenuePosition
2012 Backward traffic throttling to mitigate bandwidth floods
abstract
We 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
GLOBECOM2
2011 QoSoDoS: If you can't beat them, join them!
abstract
We 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
INFOCOM1