A Stochastic-Process Methodology for Detecting Anomalies at Runtime in Embedded Systems
Publish place: Transactions on Fuzzy Sets and Systems، Vol: 3، Issue: 2
Publish Year: 1403
Type: Journal paper
Language: English
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Document National Code:
JR_TFSS-3-2_010
Index date: 10 November 2024
A Stochastic-Process Methodology for Detecting Anomalies at Runtime in Embedded Systems Keywords:
A Stochastic-Process Methodology for Detecting Anomalies at Runtime in Embedded Systems authors
Alfredo Cuzzocrea
iDEA Lab, University of Calabria, Rende, Italy.
Enzo Mumolo
Department of Engineering, University of Trieste, Trieste, Italy.
Islam Belmerabet
iDEA Lab, University of Calabria, Rende, Italy.
Abderraouf Hafsaoui
iDEA Lab, University of Calabria, Rende, Italy.