‎A Stochastic-Process Methodology for Detecting Anomalies at Runtime in Embedded Systems‎

‎A Stochastic-Process Methodology for Detecting Anomalies at Runtime in Embedded Systems‎

Embedded computing systems are very vulnerable to anomalies that can occur during execution of deployed software. Anomalies can be due, for example, to faults, bugs or deadlocks during executions. These anomalies can have very dangerous consequences on the systems controlled by embedded computing de...

Full description

Bibliographic Details
Main Authors: Alfredo Cuzzocrea, Enzo Mumolo, Islam Belmerabet, Abderraouf Hafsaoui
Format: Article
Language:English
Published: Islamic Azad University, Bandar Abbas Branch 2024-11-01
Series:Transactions on Fuzzy Sets and Systems
Subjects:
anomaly detection
embedded systems
stochastic processes
inference models.
Online Access:https://sanad.iau.ir/journal/tfss/Article/1183368

Internet

https://sanad.iau.ir/journal/tfss/Article/1183368

Similar Items