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| Funder | National Science Foundation (US) |
|---|---|
| Recipient Organization | Cornell University |
| Country | United States |
| Start Date | Jul 01, 2021 |
| End Date | Sep 30, 2025 |
| Duration | 1,552 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | National Science Foundation (US) |
| Grant ID | 2152831 |
Networking hardware has undergone dramatic changes in recent years. Traditionally, network switches leveraged a fixed set of rules describingpac ket-forwarding behavior, tailored to a small number of standard and widely-used protocols. Today's state-of-the-art switches can run custom programs, enabling new applications.
Rather than being baked into the hardware, this behavior can be changed and updated on-the-fly---networks are becoming increasingly programmable. At the same time, programmable networks pose new challenges for security and privacy. When switches were largely limited to static behavior, switch behavior was designed and implemented by hardware
vendors. As devices become programmable, network programmers will produce networking software more frequently and in greater quantity. These programs can be highly intricate, potentially leading to more security vulnerabilities and privacy violations.
This project has two main technical goals: (1) Evaluate security and privacy threats to programmable networks before they become widespread, and (2) Design
actionable mechanisms for detecting, mitigating, and defending against such threats. The project consists of three main research thrusts. The first thrust focuses on implementing secure and privacy-preserving algorithms, including constructions from cryptography and differential privacy, on programmable switches.
The second thrust will develop static analyses and dynamic enforcement mechanisms to guarantee information-flow properties for a single programmable switch. Finally, the third thrust considers security and privacy issues in distributed applications, which are implemented across multiple programmable switches.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Cornell University
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