Generic Approach for Security Error Detection Based on Learned System Behavior Models for Automated Security Tests

The increasing complexity of software and IT systems creates the necessity for research on technologies addressing current key security challenges. To meet security requirements in IT infrastructures, a security engineering process has to be established. One crucial factor contributing to a higher l...

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Bibliographische Detailangaben

Hauptverfasser:	Schanes, Christian, Hubler, Andreas, Fankhauser, Florian, Grechenig, Thomas
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Machine learning Measurement Monitoring Neurons Robustness Security Software System testing Testing Unsupervised learning Vectors
Online-Zugang:	Volltext bestellen
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