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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
References
de Almeida, V.P., Bhowmik, S., Lima, G., Endler, M., Rothermel, K.: DSCEP: an infrastructure for decentralized semantic complex event processing. In: 2020 IEEE International Conference on Big Data (Big Data), pp. 391–398. IEEE (2020)
Bartocci, E., et al.: Specification-based monitoring of cyber-physical systems: a survey on theory, tools and applications. In: Bartocci, E., Falcone, Y. (eds.) Lectures on Runtime Verification. LNCS, vol. 10457, pp. 135–175. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75632-5_5
Basin, D., Caronni, G., Ereth, S., Harvan, M., Klaedtke, F., Mantel, H.: Scalable offline monitoring. In: Bonakdarpour, B., Smolka, S.A. (eds.) RV 2014. LNCS, vol. 8734, pp. 31–47. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11164-3_4
Blum, C., Winfield, A.F.T., Hafner, V.V.: Simulation-based internal models for safer robots. Front. Robot. AI 4, 74 (2017)
Brilliant, S.S., Knight, J.C., Leveson, N.G.: Analysis of faults in an N-version software experiment. IEEE Trans. Softw. Eng. 16(2), 238–247 (1990)
Cioroaica, E., Kuhn, T., Bauer, T.: Prototyping automotive smart ecosystems. In: 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W). IEEE (2018)
Cioroaica, E., Kuhn, T., Buhnova, B.: (Do not) trust in ecosystems. In: 2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER), pp. 9–12. IEEE (2019)
Fotescu, R.P., Constantinescu, R., Alexandrescu, B., Burciu, L.M.: System for monitoring the parameters of vehicle. In: Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies X, vol. 11718, p. 117180A (2020)
Hidayanti, F.: Design and application of monitoring system for electrical energy based-on internet of things. Helix 10(01), 18–26 (2020)
Kuhn, T., Forster, T., Braun, T., Gotzhein, R.: Feral—framework for simulator coupling on requirements and architecture level. In: 2013 Eleventh IEEE/ACM International Conference on Formal Methods and Models for Codesign (MEMOCODE), pp. 11–22. IEEE (2013)
Santos, M.A., et al.: Online heart monitoring systems on the internet of health things environments: a survey, a reference model and an outlook. Inform. Fusion 53, 222–239 (2020)
Ullo, S.L., Sinha, G.R.: Advances in smart environment monitoring systems using IoT and sensors. Sensors 20(11), 3113 (2020)
Won, M.: Intelligent traffic monitoring systems for vehicle classification: a survey. IEEE Access 8, 73340–73358 (2020)
Acknowledgement
This work was partially supported by the EU H2020 BIECO project GA No. 952702 (www.bieco.org).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Calabrò, A., Cioroaica, E., Daoudagh, S., Marchetti, E. (2022). BIECO Runtime Auditing Framework. In: Gude Prego, J.J., de la Puerta, J.G., García Bringas, P., Quintián, H., Corchado, E. (eds) 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021). CISIS - ICEUTE 2021. Advances in Intelligent Systems and Computing, vol 1400. Springer, Cham. https://doi.org/10.1007/978-3-030-87872-6_18
Download citation
DOI: https://doi.org/10.1007/978-3-030-87872-6_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87871-9
Online ISBN: 978-3-030-87872-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)