Tomas Hlavacek (Fraunhofer SIT), Italo Cunha (Universidade Federal de Minas Gerais), Yossi Gilad (Hebrew University of Jerusalem), Amir Herzberg (University of Connecticut), Ethan Katz-Bassett (Columbia University), Michael Schapira (Hebrew University of Jerusalem), Haya Shulman (Fraunhofer SIT)

BGP is a gaping security hole in today's Internet, as evidenced by numerous Internet outages and blackouts, repeated traffic hijacking, and surveillance incidents. Yet, despite Herculean efforts, ubiquitous deployment of the Resource Public Key Infrastructure (RPKI), designed to protect against prefix hijacking attacks, remains distant, due to RPKI's manual and error-prone certification process. We argue that deploying origin authentication at scale requires substituting the standard requirement of certifying legal ownership of IP address blocks with the goal of certifying de facto ownership. We show that settling for de facto ownership is sufficient for protecting against hazardous prefix hijacking and can be accomplished without requiring any changes to today's routing infrastructure. We present APKI, a readily deployable system that automatically certifies de facto ownership and generates the appropriate BGP-path-filtering rules at routers. We evaluate APKI's security and deployability via live experiments on the Internet using a prototype implementation of APKI and through simulations on empirically-derived datasets. To facilitate the reproducibility of our results, we open source our prototype, simulator, and measurement analysis code.

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Hojjat Aghakhani (University of California, Santa Barbara), Fabio Gritti (University of California, Santa Barbara), Francesco Mecca (Università degli Studi di Torino), Martina Lindorfer (TU Wien), Stefano Ortolani (Lastline Inc.), Davide Balzarotti (Eurecom), Giovanni Vigna (University of California, Santa Barbara), Christopher Kruegel (University of California, Santa Barbara)

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Marcel Kneib (Robert Bosch GmbH), Oleg Schell (Bosch Engineering GmbH), Christopher Huth (Robert Bosch GmbH)

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Wajih Ul Hassan (University of Illinois Urbana-Champaign), Mohammad A. Noureddine (University of Illinois Urbana-Champaign), Pubali Datta (University of Illinois Urbana-Champaign), Adam Bates (University of Illinois Urbana-Champaign)

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Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning

Harsh Chaudhari (Indian Institute of Science, Bangalore), Rahul Rachuri (Aarhus University, Denmark), Ajith Suresh (Indian Institute of Science, Bangalore)

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