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Revealing anomalies at the operating system (OS) level to support online diagnosis activities of complex software systems is a promising approach when traditional detection mechanisms (e.g., based on event logs, probes and heartbeats) are inadequate or cannot be applied. In this paper we propose aconfigurable detection framework to reveal anomalies in the OS behavior, related to system misbehaviors...
Software faults are recognized to be among the main responsible for system failures in many application domains. Event logs play a key role to support the analysis of failures occurring under real workload conditions. Nevertheless, field experience suggests that event logs may be inaccurate at reporting software failures or they fail to provide accurate support for understanding their causes. This...
The next generation of critical systems, namely complex Critical Infrastructures (LCCIs), require efficient runtime management, reconfiguration strategies, and the ability to take decisions on the basis of current and past behavior of the system. Anomaly-based detection, leveraging information gathered at Operating System (OS) level (e.g., number of system call errors, signals, and holding semaphores...
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