zkStream: a Framework for Trustworthy Stream Processing
Year: 2024
Type: conference-paper
Abstract: In stream processing, managing sensitive information in a timely manner while ensuring trust remains a significant challenge. When parties without a priori trust cooperate to execute a streaming application, it is difficult to ensure that sensitive data is kept confidential while guaranteeing that every party executes their code honestly.
Authors: Janwillem Swalens, Lode Hoste, Emad Heydari Beni, Lieven Trappeniers
Institution: Nokia (Belgium)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4404788168
