Data di Pubblicazione:
2021
Abstract:
Context: Within digital ecosystems avoiding the propagation of security and trust violations among interconnected parties is a mandatory requirement, especially when a new device, a software component, or a system component is integrated within the ecosystem.
Objective: The aim is to define an auditing framework able to assess and evaluate the specific functional and non-functional properties of the ecosystems and their components.
Method: In this paper, we present the concept of predictive simulation and runtime monitoring for detecting malicious behavior of ecosystem components.
Results and Conclusion: We defined a reference architecture allowing the automation of the auditing process for the runtime behavior verification of ecosystems and their components. Validation of the proposal with real use-cases is part of the future BIECO's activities.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Auditing; Predictive simulation; Runtime monitoring; BIECO
Elenco autori:
Daoudagh, Said; Calabro', Antonello; Marchetti, Eda
Link alla scheda completa:
Titolo del libro:
14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021)
Pubblicato in: