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

Funding source: NSF SaTC-2132651. Period of performance: 01/01/2022 -- 12/31/2025.

Project Overview

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.

People

  • Lead PI: Ram Durairajan
  • Co-PIs: Vyas Sekar (Co-PI, CMU), Zaoxing Liu (Co-PI, BU)
  • Ph.D. Students: Matthew Nance Hall
  • B.S. Students:

Publications

  • Leveraging Prefix Structure to Detect Volumetric DDoS Attack Signatures with Programmable Switches
    Chris Misa, Ramakrishnan Durairajan, Arpit Gupta, Reza Rejaie and Walter Willinger
    In IEEE Symposium on Security and Privacy (S&P) (Oakland '24), San Francisco, CA, May 2024.
    [PAPER]     [CODE]    

  • Analyzing the Benefits of Optical Topology Programming for Mitigating Link-flood DDoS Attacks
    Matthew Nance Hall, Zaoxing Liu, Vyas Sekar and Ramakrishnan Durairajan
    In IEEE Transactions on Dependable and Secure Computing, 2024.
    [PAPER]    

  • Data-Fusion for Prefix-Level Inference: A DDoS Case Study
    Chris Misa, Ramakrishnan Durairajan, Reza Rejaie and Walter Willinger
    In Security Datasets for AI (SECDAI) workshop, virtual, April 2024.
    [PAPER]    

  • Network Management with Graph Machine Learning: Challenges and Solutions
    Yu Wang and Ramakrishnan Durairajan
    In Security Datasets for AI (SECDAI) workshop, virtual, April 2024.
    [PAPER]    

  • DynATOS+: A Network Telemetry System for Dynamic Traffic and Query Workloads
    Chris Misa, Ramakrishnan Durairajan, Reza Rejaie and Walter Willinger
    In IEEE/ACM Transactions on Networking, 2024.
    [PAPER]    

  • Improving Scalability in Traffic Engineering via Optical Topology Programming
    Matthew Nance Hall, Paul Barford, Klaus-Tycho Foerster and Ramakrishnan Durairajan
    In IEEE Transactions on Network and Service Management, November 2023.
    [PAPER]     [CODE]    

  • Dynamic Scheduling of Approximate Telemetry Queries
    Chris Misa, Walt O'Connor, Ramakrishnan Durairajan, Reza Rejaie and Walter Willinger
    In Proceedings of USENIX NSDI'22, Renton, WA, April 2022.
    [PAPER]     [PROJECT WEBSITE]     [CODE]    

  • Fighting Fire with Light: Tackling Extreme Terabit DDoS Using Programmable Optics
    Matthew Nance Hall, Guyue Liu, Ramakrishnan Durairajan and Vyas Sekar
    In Proceedings of 1st Workshop on Secure and Programmable Network Infrastructure (SPIN'20)
    co-located with ACM SIGCOMM'20, New York, USA, August 2020.
    [PAPER]    

Outreach