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Ιδρυματικό Αποθετήριο [SANDBOX]
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| URI | http://purl.tuc.gr/dl/dias/0965E93B-0217-432A-A79D-9CE00608800C | - |
| Αναγνωριστικό | https://doi.org/10.1109/ISCC55528.2022.9912965 | - |
| Αναγνωριστικό | https://ieeexplore.ieee.org/document/9912965 | - |
| Γλώσσα | en | - |
| Μέγεθος | 7 pages | en |
| Τίτλος | Incident handling for healthcare organizations and supply-chains | en |
| Δημιουργός | Lakka Eftychia | en |
| Δημιουργός | Chatzivasilis Georgios | en |
| Δημιουργός | Χατζηβασιλης Γεωργιος | el |
| Δημιουργός | Karagiannis Stylianos | en |
| Δημιουργός | Alexopoulos Andreas | en |
| Δημιουργός | Athanatos Manos | en |
| Δημιουργός | Αθανατος Μανος | el |
| Δημιουργός | Ioannidis Sotirios | en |
| Δημιουργός | Ιωαννιδης Σωτηριος | el |
| Δημιουργός | Chatzimpyrros Manolis | en |
| Δημιουργός | Kalogiannis Grigoris | en |
| Δημιουργός | Spanoudakis, George | en |
| Εκδότης | Institute of Electrical and Electronics Engineers | en |
| Περιγραφή | This work has received funding from the European Union’s Horizon 2020 research and innovation programmes under grant agreements No. 883273 (AI4HEALTHSEC), No. 883275 (HEIR), No. 830927 (CONCORDIA), and No. 952644 (FISHY). | en |
| Περίληψη | Healthcare ecosystems form a critical type of infrastructures that provide valuable services in today societies. However, the underlying sensitive information is also of interest of malicious entities around the globe, with the attack volume being continuously increasing. Safeguarding this complex computerized setting constitutes a major challenge for the involved organizations. This paper presents an incident handling system for healthcare organizations and their supply-chain. The proposed approach utilizes swarm intelligence in order to assess the current security posture in a continuous basis and respond to attacks in real-time. The overall solution is based on the related NIST 800.61 standard and implements the operations of i) preparation, ii) detection and analysis, iii) containment, eradication, and recovery, and iv) post-incident activity. The system is developed under the EU funded project AI4HEALTHSEC and is applied in the relevant healthcare pilots. | en |
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Τύπος | Conference Full Paper | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| Ημερομηνία | 2024-08-02 | - |
| Ημερομηνία Δημοσίευσης | 2022 | - |
| Θεματική Κατηγορία | Healthcare sector | en |
| Θεματική Κατηγορία | Incident handling | en |
| Θεματική Κατηγορία | Incident response | en |
| Θεματική Κατηγορία | Response team | en |
| Θεματική Κατηγορία | Security | en |
| Θεματική Κατηγορία | Privacy | en |
| Βιβλιογραφική Αναφορά | E. Lakka, G. Hatzivasilis, S. Karagiannis, A. Alexopoulos, M. Athanatos, S. Ioannidis, M. Chatzimpyrros, G. Kalogiannis and G. Spanoudakis, "Incident handling for healthcare organizations and supply-chains," in Proceedings of the 2022 IEEE Symposium on Computers and Communications (ISCC 2022), Rhodes, Greece, 2022, doi: 10.1109/ISCC55528.2022.9912965. | en |
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