Abstract
New and evolving threats emerge every day in the e-Health industry. The safety of e-Health’s telemonitoring systems is becoming a prominent task. In this work, starting from a CADS (Cyberattack Detection System) model that uses artificial intelligence techniques to detect anomalies, we focus on the activity of interacting with data. Using a User Interaction Engine, a dashboard allows you to visually explore and view data from suspected attacks on healthcare professionals for a threat reaction. In particular, a User Feedback module is presented to interact with healthcare personnel and ask for a response on the anomaly detected.
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Acknowledgments
This work was partially funded by the European Union, Horizon 2020 research and innovation programme, through the ECHO project (grant agreement no 830943) and by the Italian P.O. Puglia FESR 2014–2020 (project code 6ESURE5) SECURE SAFE APULIA.
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Ardito, C., Di Noia, T., Di Sciascio, E., Lofù, D., Pazienza, A., Vitulano, F. (2021). User Feedback to Improve the Performance of a Cyberattack Detection Artificial Intelligence System in the e-Health Domain. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12936. Springer, Cham. https://doi.org/10.1007/978-3-030-85607-6_25
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DOI: https://doi.org/10.1007/978-3-030-85607-6_25
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