Name
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-87872-6_18 | 14TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS AND 12TH INTERNATIONAL CONFERENCE ON EUROPEAN TRANSNATIONAL EDUCATIONAL (CISIS 2021 AND ICEUTE 2021) |
Keywords | DocType | Volume |
Auditing, Predictive simulation, Runtime monitoring, BIECO | Conference | 1400 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonello Calabrò | 1 | 0 | 0.34 |
| Emilia Cioroaica | 2 | 8 | 3.03 |
| Said Daoudagh | 3 | 99 | 11.31 |
| Eda Marchetti | 4 | 392 | 41.68 |