Abstract: We propose NSYNC, a practical framework to compare side-channel signals for real-time intrusion detection in Additive Manufacturing (AM) systems.

Abstract—We propose NSYNC, a practical framework to compare side-channel signals for real-time intrusion detection in. Additive Manufacturing (AM) systems.

Employing a data acquisition system to collect six different side-channel signals, the proposed anomaly detection approach gives 99% detection accuracy in ...

Oct 29, 2024 · This paper is included in the Proceedings of the 18th USENIX WOOT Conference on Offensive Technologies. M. H. Rais, Muhammad Ahsan, Irfan Ahmed.

"A Practical Side-channel Based Intrusion Detection System for Additive Manufacturing Systems". In the International Conference on Distributed Computing ...

In this thesis, I propose to detect defect injection attacks by analyzing the power consumption of the 3D-printer with a deep feed-forward neural network ...

These systems monitor analog side- channel signals in a printing process, called measurement, and compare the measurement to ground truth to detect anomalies.

Oct 9, 2023 · Beyah, “A practical side-channel based intrusion detection system for additive manu- facturing systems,” in 2021 IEEE 41st International ...

Jan 23, 2022 · In this project, we developed an air-gapped intrusion detection solution for cyber-physical industrial additive manufacturing infrastructures, ...

A practical side-channel based intrusion detection system for additive manufacturing systems. S Liang, X Peng, HJ Qi, S Zonouz, R Beyah. 2021 IEEE 41st ...