The EU-funded PALANTIR project proposes a cybersecurity framework combining privacy assurance, data protection, incident detection and recovery aspects under the same platform. The project main focus is on cyber-resilience of SMEs and compliance with the relevant data privacy and protection regulations. The outcomes of the project will be validated in diverse application areas (eHealth, eCommerce, 5G-MEC) and will provide enterprises with security tools that will boost their resilience at a reasonable cost to protect their assets in the ever evolving cyber threat range.
Practical Autonomous Cyberhealth for resilient Micro, Small and Medium-sized Enterprises / Mantas, E.; Papadopoulos, D.; Fernandez, C.; Ortiz, N.; Compastie, M.; Martinez, A. L.; Perez, M. G.; Kourtis, A.; Xylouris, G.; Mlakar, I.; Tsarsitalidis, S.; Klonidis, D.; Pedone, I.; Canavese, D.; Perez, G. M.; Sanvito, D.; Logothetis, V.; Lopez, D.; Pastor, A.; Lioy, A.; Jacquin, L.; Bifulco, R.; Kapodistria, A.; Priovolos, A.; Gardikis, G.; Neokosmidis, I.; Rokkas, T.; Papadakis, N.; Paraschos, D.; Jeran, P.; Litke, A.; Athanasiou, G.. - STAMPA. - (2021), pp. 500-505. (Intervento presentato al convegno 2021 IEEE International Mediterranean Conference on Communications and Networking tenutosi a Athens (Greece) nel 7-10 September 2021) [10.1109/MeditCom49071.2021.9647609].
Practical Autonomous Cyberhealth for resilient Micro, Small and Medium-sized Enterprises
Pedone I.;Canavese D.;Lioy A.;
2021
Abstract
The EU-funded PALANTIR project proposes a cybersecurity framework combining privacy assurance, data protection, incident detection and recovery aspects under the same platform. The project main focus is on cyber-resilience of SMEs and compliance with the relevant data privacy and protection regulations. The outcomes of the project will be validated in diverse application areas (eHealth, eCommerce, 5G-MEC) and will provide enterprises with security tools that will boost their resilience at a reasonable cost to protect their assets in the ever evolving cyber threat range.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2971590