BIECO runtime auditing framework
Calabrò A., Cioroaica E., Daoudagh S., Marchetti E.
Predictive simulation Runtime monitoring BIECO Auditing
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.
Source: ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING, pp. 181-191. Bilbao, Spain, 22-24/09/2021
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@inproceedings{oai:it.cnr:prodotti:461893,
title = {BIECO runtime auditing framework},
author = {Calabrò A. and Cioroaica E. and Daoudagh S. and Marchetti E.},
doi = {10.1007/978-3-030-87872-6_18},
booktitle = {ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING, pp. 181-191. Bilbao, Spain, 22-24/09/2021},
year = {2021}
}
0000-0001-5502-303X
