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BIECO runtime auditing framework

Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Auditing; Predictive simulation; Runtime monitoring; BIECO
List of contributors:
Daoudagh, Said; Calabro', Antonello; Marchetti, Eda
Authors of the University:
CALABRO' ANTONELLO
DAOUDAGH SAID
MARCHETTI EDA
Handle:
https://iris.cnr.it/handle/20.500.14243/445531
Book title:
14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021)
Published in:
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
Series
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Overview

URL

https://link.springer.com/chapter/10.1007%2F978-3-030-87872-6_18
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