Jonghoon Kwon (ETH Zürich), Claude Hähni (ETH Zürich), Patrick Bamert (Zürcher Kantonalbank), Adrian Perrig (ETH Zürich)

A central element of designing IT security infrastructures is the logical segmentation of information assets into groups sharing the same security requirements and policies, called network zones. As more business ecosystems are migrated to the cloud, additional demands for cybersecurity emerge and make the network-zone operation and management for large corporate networks challenging. In this paper, we introduce the new concept of an inter-domain transit zone that securely bridges physically and logically non-adjacent zones in large-scale information systems, simplifying complex network-zone structures. With inter-zone translation points, we also ensure communication integrity and confidentiality while providing lightweight security-policy enforcement. A logically centralized network coordinator enables scalable and flexible network management. Our implementation demonstrates that the new architecture merely introduces a few microseconds of additional processing delay in transit.

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Athanasios Kountouras (Georgia Institute of Technology), Panagiotis Kintis (Georgia Institute of Technology), Athanasios Avgetidis (Georgia Institute of Technology), Thomas Papastergiou (Georgia Institute of Technology), Charles Lever (Georgia Institute of Technology), Michalis Polychronakis (Stony Brook University), Manos Antonakakis (Georgia Institute of Technology)

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Demo #3: Detecting Illicit Drone Video Filming Using Cryptanalysis

Ben Nassi, Raz Ben-Netanel (Ben-Gurion University of the Negev), Adi Shamir (Weizmann Institute of Science), and Yuval Elovic (Ben-Gurion University of the Negev)

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Ruian Duan (Georgia Institute of Technology), Omar Alrawi (Georgia Institute of Technology), Ranjita Pai Kasturi (Georgia Institute of Technology), Ryan Elder (Georgia Institute of Technology), Brendan Saltaformaggio (Georgia Institute of Technology), Wenke Lee (Georgia Institute of Technology)

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Differentially Private Health Tokens for Estimating COVID-19 Risk

David Butler, Chris Hicks, James Bell, Carsten Maple, and Jon Crowcroft (The Alan Turing Institute)

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