Realistic Data Generation for Anomaly Detection in Industrial Settings Using Simulations

Peter Schneider, Alexander Giehl. Realistic Data Generation for Anomaly Detection in Industrial Settings Using Simulations. In Sokratis K. Katsikas, Frédéric Cuppens, Nora Cuppens, Costas Lambrinoudakis, Annie I. Antón, Stefanos Gritzalis, John Mylopoulos, Christos Kalloniatis, editors, Computer Security - ESORICS 2018 International Workshops, CyberICPS 2018 and SECPRE 2018, Barcelona, Spain, September 6-7, 2018, Revised Selected Papers. Volume 11387 of Lecture Notes in Computer Science, pages 119-134, Springer, 2018. [doi]

Abstract

Abstract is missing.