Jeff Seibert
Purdue University
16 Papers
71 Citations
Jeff Seibert is an academic researcher from Purdue University. The author has contributed to research in topics: PlanetLab & The Internet. The author has an hindex of 5, co-authored 16 publications.
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Papers
Turret: A Platform for Automated Attack Finding in Unmodified Distributed System Implementations
Hyojeong Lee,Jeff Seibert,Endadul Hoque,Charles Killian,Cristina Nita-Rotaru +4 more
- 30 Jun 2014
TL;DR: Turret is presented, a platform for automatically finding performance attacks in unmodified implementations of distributed systems and uses a new attack finding algorithm and several optimizations that allow it to find attacks in a matter of minutes.
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Applying game theory to analyze attacks and defenses in virtual coordinate systems
Sheila Beckery,Jeff Seibert,David Zage,Cristina Nita-Rotaru,Radu Statey +4 more
- 27 Jun 2011
TL;DR: This work defines and uses a game theory framework to identify the best attack and defense strategies assuming that the attacker is aware of the defense mechanisms and considers attacks that target the latency estimation (inflation, deflation, oscillation) and defense mechanisms that combine outlier detection with control theory to deter adaptive adversaries.
The internet-wide impact of P2P traffic localization on ISP profitability
Jeff Seibert,Ruben Torres,Marco Mellia,Maurizio Matteo Munafo,Cristina Nita-Rotaru,Sanjay Rao +5 more
TL;DR: A detailed simulation study to examine how localizing P2P traffic within network boundaries impacts the profitability of an ISP shows that residential ISPs can actually lose money when localization is employed and some ISPs can better increase profitability through alternate strategies to localization.
•Proceedings Article
Gatling: Automatic Attack Discovery in Large-Scale Distributed Systems.
Hyojeong Lee,Jeff Seibert,Charles Killian,Cristina Nita-Rotaru +3 more
- 01 Jan 2012
TL;DR: Gatling as discussed by the authors identifies a set of basic malicious message delivery and lying ac- tions and design a greedy search algorithm that finds effec- tive attacks consisting of a subset of these actions.
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•Proceedings Article
Gatling: automatic attack discovery in large-scale distributed systems
Hyojeong Lee,Jeff Seibert,Charles Killian,Cristina Nita-Rotaru +3 more
- 03 Apr 2012
TL;DR: Gatling is a framework that automatically finds performance attacks caused by insider at- tackers in large-scale message-passing distributed systems, by using a type- aware compiler and design a greedy search algorithm that finds attacks consisting of a subset of these actions.