A Smart Ecosystem reflects in the control decisions of entities of different nature, especially of its software components. Particularly, the malicious behavior requires a more accurate attention. This paper discusses the challenges related to the evaluation of software smart agents and proposes a first solution leveraging the monitoring facilities for a) assuring conformity between the software agent and its digital twin in a real-time evaluation and b) validating decisions of the digital twins during runtime in a predictive simulation.
Towards runtime monitoring for malicious behaviors detection in smart ecosystems
Di Giandomenico F;Lonetti F;Marchetti E;
2019
Abstract
A Smart Ecosystem reflects in the control decisions of entities of different nature, especially of its software components. Particularly, the malicious behavior requires a more accurate attention. This paper discusses the challenges related to the evaluation of software smart agents and proposes a first solution leveraging the monitoring facilities for a) assuring conformity between the software agent and its digital twin in a real-time evaluation and b) validating decisions of the digital twins during runtime in a predictive simulation.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
prod_416349-doc_150883.pdf
solo utenti autorizzati
Descrizione: Towards Runtime Monitoring for malicious behaviors detection in Smart Ecosystems
Tipologia:
Versione Editoriale (PDF)
Licenza:
NON PUBBLICO - Accesso privato/ristretto
Dimensione
579.86 kB
Formato
Adobe PDF
|
579.86 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
|
prod_416349-doc_158540.pdf
accesso aperto
Descrizione: Postprint - Towards Runtime Monitoring for malicious behaviors detection in Smart Ecosystems
Tipologia:
Documento in Post-print
Licenza:
Altro tipo di licenza
Dimensione
148.29 kB
Formato
Adobe PDF
|
148.29 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
