Lindsey Tulloch and Ian Goldberg receive Andreas Pfitzmann Best Student Paper Award at 2023 Privacy Enhancing Technologies Symposium

Friday, July 21, 2023

Master’s graduate Lindsey Tulloch and her advisor Professor Ian Goldberg have won one of three Andreas Pfitzmann Best Student Paper Awards for “Lox: Protecting the Social Graph in Bridge Distribution.” Their award-winning paper was presented at PETS 2023, the 23rd Privacy Enhancing Technologies Symposium, held this year from July 10–15 in Lausanne, Switzerland.

Named after Andreas Pfitzmann (1958–2010), a pioneer of technical privacy protection, the award is conferred for papers written solely or primarily by a student who is presenting the research at PETS. Selection is based on the scientific quality of the paper, the expected impact it will have on the field, and the quality of the presentation.

“Congratulations to Lindsey and Ian on their best student paper award at the Privacy Enhancing Technologies Symposium,” said Raouf Boutaba, Professor and Director of the Cheriton School of Computer Science. “This research is of great importance as it provides a mechanism for people to use the Internet privately, thereby evading Internet censorship and surveillance.”

photo of Lindsey Tulloch and Professor Ian Goldberg

L to R: Lindsey Tulloch and Professor Ian Goldberg

Lindsey graduated with a master’s degree in Computer Science in May 2022. She is a software developer on Tor’s anti-censorship team. The Tor Project is a non-profit organization responsible for developing and maintaining software for the Tor anonymity network. The award-winning research she conducted on a new bridge distribution system during her master’s degree is now being developed for deployment to the millions of users of the Tor network to protect their privacy online.

Ian Goldberg is the Canada Research Chair in Privacy Enhancing Technologies and a professor at the Cheriton School of Computer Science. His main research interests are in security and privacy, and specifically in creating privacy enhancing technologies — PETs — for the Internet.

More about this award-winning research

In many regions across the globe, repressive governments censor the Internet to limit access to information, to prevent self-expression, to monitor the activity of Internet users, and to suppress dissent. Anti-censorship proxies — known as bridges — can provide journalists, activists, and individuals from marginalized groups a connection to the open Internet beyond the area of influence a censor controls. 

However, bridge distribution systems, which are created to publicly distribute large pools of bridges to users in censored regions, may also inadvertently provide bridges to malicious users. If not designed with privacy in mind, bridge distribution systems can be overwhelmed by attacks from censors, undermining the integrity of the system and exposing its users. 

For example, BridgeDB, the bridge distribution system currently used by the Tor Project, provides adequate privacy protection for some Tor users. But the passive and active detection techniques used by censors — such as traffic flow analysis, deep packet inspection, website fingerprinting, and active probing — can reveal Tor bridges, rendering Tor inaccessible for most users in some regions.

In their paper, Lindsey and Professor Goldberg describe Lox, a new bridge distribution system that prioritizes protecting privacy of users and their social graphs — the interconnections among people, groups and organizations in a social network. Lox also incorporates enumeration resistance mechanisms to improve access to bridges and limit the malicious behaviour of censors. The research employs an updated unlinkable multi-show anonymous credential scheme, suitable for a single credential issuer and verifier, to protect Lox bridge users and their social networks from being identified by censors. They formalize a trust level scheme that is compatible with anonymous credentials and effectively limits malicious behaviour while maintaining user anonymity. 

Their work includes an open-sourced, Rust implementation of their Lox protocols as well as an evaluation of their performance. With reasonable performance and latency for the expected user base, they demonstrate Lox as a practical, social graph protective bridge distribution system. Measured performance shows that Lox can provide reasonable protection of the social graph for millions of users with even a single core.

Andreas Pfitzmann Best Student Paper Awards

This is the third time that a paper Professor Goldberg coauthored with graduate students has won an Andreas Pfitzmann Best Student Paper Award.

Previous awardees are —

  1. 2024 (68)
    1. July (11)
    2. June (11)
    3. May (15)
    4. April (9)
    5. March (13)
    6. February (1)
    7. January (8)
  2. 2023 (70)
    1. December (6)
    2. November (7)
    3. October (7)
    4. September (2)
    5. August (3)
    6. July (7)
    7. June (8)
    8. May (9)
    9. April (6)
    10. March (7)
    11. February (4)
    12. January (4)
  3. 2022 (63)
    1. December (2)
    2. November (7)
    3. October (6)
    4. September (6)
    5. August (1)
    6. July (3)
    7. June (7)
    8. May (8)
    9. April (7)
    10. March (6)
    11. February (6)
    12. January (4)
  4. 2021 (64)
  5. 2020 (73)
  6. 2019 (90)
  7. 2018 (82)
  8. 2017 (51)
  9. 2016 (27)
  10. 2015 (41)
  11. 2014 (32)
  12. 2013 (46)
  13. 2012 (17)
  14. 2011 (20)