Award Abstract # 2132651
Collaborative Research: SaTC: CORE: Medium: ONSET: Optics- enabled Network Defenses for Extreme Terabit DDoS Attacks

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: UNIVERSITY OF OREGON
Initial Amendment Date: August 25, 2021
Latest Amendment Date: August 25, 2021
Award Number: 2132651
Award Instrument: Standard Grant
Program Manager: Xiaogang (Cliff) Wang
xiawang@nsf.gov
 (703)292-2812
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: January 1, 2022
End Date: December 31, 2025 (Estimated)
Total Intended Award Amount: $400,000.00
Total Awarded Amount to Date: $400,000.00
Funds Obligated to Date: FY 2021 = $400,000.00
History of Investigator:
  • Ramakrishnan Durairajan (Principal Investigator)
    ram@cs.uoregon.edu
Recipient Sponsored Research Office: University of Oregon Eugene
1776 E 13TH AVE
EUGENE
OR  US  97403-1905
(541)346-5131
Sponsor Congressional District: 04
Primary Place of Performance: University of Oregon Eugene
OR  US  97403-5219
Primary Place of Performance
Congressional District:
04
Unique Entity Identifier (UEI): Z3FGN9MF92U2
Parent UEI: Z3FGN9MF92U2
NSF Program(s): Secure &Trustworthy Cyberspace
Primary Program Source: 01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 025Z, 7924
Program Element Code(s): 806000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

Distributed Denial of Service (DDoS) attacks continue to present a clear and imminent danger to critical network infrastructures. DDoS attacks have increased in sophistication with advanced strategies to continuously adapt (e.g., changing threat postures dynamically) and induce collateral damage (i.e., higher latency and loss for legitimate traffic). Furthermore, advanced attacks may also employ reconnaissance (e.g., mapping the network to find bottleneck links) to target the network infrastructure itself. In light of these trends, state-of-art defenses (e.g., advanced scrubbing, emerging software-defined defenses, and programmable switching hardware) have fundamental shortcomings. This project will develop a new framework, referred to as "Optics-enabled In-Network defenSe for Extreme Terabit DDoS attacks" (ONSET). The framework makes a case for new dimensions of defense agility that can programmatically control the topology of the network (in addition to the processing behavior) to tackle advanced and future attacks. The project will facilitate the use of optical technologies as an exciting visual medium for engaging K-12 students via suitable channels for dissemination. The project will also result in new course materials at the intersection of optical networking, software-defined networking, and network security to enable students to become domain experts in this emerging problem space.

The project will take an interdisciplinary approach spanning security, optics, systems, and networks, to address fundamental challenges along three thrusts: (1) novel "data plane" solutions to rapidly reconfigure the wavelengths and switches and new capabilities in programmable switches to rapidly identify malicious vs. benign traffic at line rate; (2) novel "control plane" orchestration mechanisms for scalable resource management algorithms and coordinated control across optical networking and programmable switches; and (3) new "northbound application programming interfaces (APIs)" to express novel defenses to combat current and future DDoS attacks (e.g., with reconnaissance). This project will develop a new framework, referred to as "Optics-enabled In-Network defenSe for Extreme Terabit DDoS attacks" (ONSET). The research efforts will result in end-to-end prototypes using open-source and standardized interfaces to demonstrate the novel defense capabilities of ONSET. The efficacy of ONSET will be evaluated using pilot studies on operational networks to create a roadmap to practical deployment, using real testbeds and large-scale simulations. The project outcomes will be released as open-source software tools, models, and simulation frameworks that will inform industry and academic work.

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.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Chris, Misa and OConnor, Walt and Durairajan, Ramakrishnan and Rejaie, Reza and Willinger, Walter "Dynamic Scheduling of Approximate Telemetry Queries" NSDI , 2022 Citation Details
Elfandi, Abduarraheem and Sagalyn, Hannah and Durairajan, Ramakrishan and Willinger, Walter "Bootstrapping Trust in ML4Nets Solutions with Hybrid Explainability" , 2024 https://doi.org/10.1145/3704742.3704961 Citation Details
Misa, Chris and Durairajan, Ramakrishnan and Gupta, Arpit and Rejaie, Reza and Willinger, Walter "Leveraging Prefix Structure to Detect Volumetric DDoS Attack Signatures with Programmable Switches" , 2024 https://doi.org/10.1109/SP54263.2024.00267 Citation Details
Misa, Chris and Durairajan, Ramakrishnan and Rejaie, Reza and Willinger, Walter "DynATOS+: A Network Telemetry System for Dynamic Traffic and Query Workloads" IEEE/ACM Transactions on Networking , 2024 Citation Details
Misa, Chris and Durairajan, Ramakrishnan and Rejaie, Reza and Willinger, Walter "DynATOS+: A Network Telemetry System for Dynamic Traffic and Query Workloads" IEEE/ACM Transactions on Networking , 2024 Citation Details
Nance-Hall, Matthew and Barford, Paul and Foerster, Klaus-Tycho and Durairajan, Ramakrishnan "Improving Scalability in Traffic Engineering via Optical Topology Programming" IEEE Transactions on Network and Service Management , 2024 https://doi.org/10.1109/TNSM.2023.3335898 Citation Details
Nance-Hall, Matthew and Liu, Zaoxing and Sekar, Vyas and Durairajan, Ramakrishnan "Analyzing the Benefits of Optical Topology Programming for Mitigating Link-Flood DDoS Attacks" IEEE Transactions on Dependable and Secure Computing , 2024 https://doi.org/10.1109/TDSC.2024.3391188 Citation Details

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