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Towards Runtime Monitoring for Malicious Behaviors Detection in Smart Ecosystems

 
: Cioroaica, Emilia; Giandomenico, Felicita Di; Kuhn, Thomas; Lonetti, Francesca; Marchetti, Eda; Jahic, Jasmin; Schnicke, Frank

:
Fulltext urn:nbn:de:0011-n-5932340 (142 KByte PDF)
MD5 Fingerprint: 4fdd23a17f780a3f1b82b8460b9d13f8
Created on: 23.7.2020


Wolter, K. ; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society:
IEEE 30th International Symposium on Software Reliability Engineering Workshops, ISSREW 2019. Proceedings : 28-31 October 2019, Berlin, Germany
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2019
ISBN: 978-1-7281-5138-0
ISBN: 978-1-7281-5139-7
pp.200-203
International Symposium on Software Reliability Engineering (ISSRE) <30, 2019, Berlin>
European Commission EC
H2020-H2020-EU.2.1.1.7. - ECSEL; 783119; SECREDAS
Cyber Security for Cross Domain Reliable Dependable Automated Systems
English
Conference Paper, Electronic Publication
Fraunhofer IESE ()
Data visualisation; Software agents; Digital twins; Malicious behaviours; Monitoring; Smart ecosystems; Virtual evaluation

Abstract
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.

: http://publica.fraunhofer.de/documents/N-593234.html