Enhancing Operational Security of Human-to-Machine Applications through Concept Drift Detection
Paper in proceeding, 2025
We propose a novel concept drift detection framework to detect and mitigate malicious traffic for human-to-machine applications in fiber-wireless access networks, reducing uplink latency by up to 98% and enhancing its operational security.
Author
Xiangyu Yu
University of Melbourne
Carlos Natalino Da Silva
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Paolo Monti
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Lena Wosinska
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Sourav Mondal
University of Melbourne
Yuxiao Wang
University of Melbourne
Elaine Wong
University of Melbourne
Conference on Optical Fiber Communication, Technical Digest Series
W3J.5
978-1-55752-737-0 (ISBN)
Optical Fiber Communication Conference (OFC) 2025
San Francisco, USA,
San Francisco, USA,
Areas of Advance
Information and Communication Technology
Subject Categories (SSIF 2025)
Communication Systems
Computer Sciences
Control Engineering