This work introduces the concept of software passports, intended to act as a signature construct for runtime performance behaviour of reference executions, based on Extra-Functional Behaviour metrics, and is capable of detecting synthetically introduced performance anomalies to the real execution tracing data from a semiconductor photolithography machine.
This work demonstrates the use of compartmentalisation of execution timelines into distinct units, i.e., execution phases, and introduces the generation of representations for these phases, i.e., behavioural signatures and behavioural passports, as their way of behavioural fingerprinting.
Uraz Odyurt, A. Pimentel, Ignacio González et al.· 0 citations
A comparative evaluation of unsupervised anomaly detection techniques using the PyOD Python library, applied to three representative industrial scenarios: Intrusion Detection, Fault Detection, and Predictive Maintenance, offers valuable guidance for selecting robust anomaly detection models in industrial applications b...
Henry O. Velesaca, Melissa Ayllon Gutierrez, Luis Barrera Muñoz et al.· Manufacturing Review· 0 citations
FAA+RTS is a novel solution as it integrates previously-isolated methods for dealing with multiple constraints into a single framework, presenting a single overview of all possible trade-offs to the application designer, resulting in a robust and reliable system.
L. Miedema, D. Sapra, P. Novobilsky et al.· 0 citations
The proposed combination of control-flow anomaly detection, attack-tree based intrusion identification, and hardware-based monitoring can improve not only anomaly detection, but also the diagnostic precision of attack-tree-based cyber-attack identification.
M. Sachenbacher, Martin Leucker, Alexander Weiss et al.· 0 citations
Real-time anomaly detection in distributed manufacturing environments often relies on rigid timeout thresholds that may fail to identify missing workpieces or abnormal mechanical behavior until a critical failure occurs. This study presents a high-resolution, statistics-based anomaly detection framework for a Fischerte...
Anas Abu Al-Haija'a, B. Szekeres, M. Andó· The International Journal of...· 0 citations
An operational blueprint for an Autonomous Defensive Layer (ADL) is suggested that enforces tight micro-virtualization, continuous shadow reasoning execution, and deterministic formal verification pipelines to safeguard the upcoming generation of computing runtimes.
Muhammad Anjum· International Journal of Dig...· 0 citations
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