On-the-field maintenance of complex equipments, that may involve multiple subjects and stakeholders, is one of most challenging scenarios for Enterprise Rights Management (ERM). In this paper, we present an ERM system that guarantees the 'on-site' protection of information confidentiality. In particular, our system features local data encryption and minimal data transfers. A secure key management protocol is executed by the devices operating on-site and the remote manufacturer's support center and guarantees an efficient and dynamic enforcement of arbitrary data-provider-defined access policies. Operator identities are verified by means of strong multi-biometric verification schemes whilst protecting their biometries by means of cancelable biometries. To this end, we provide the first experimental evaluation of cancelable biometrics based on the fusion of face and voice biometries, that may be of independent interest.
An enterprise rights management system for on-the-field maintenance facilities / Catuogno, L.; Galdi, C.; Riccio, D.. - In: IEEE ACCESS. - ISSN 2169-3536. - 8:(2020), pp. 95987-95996. [10.1109/ACCESS.2020.2995564]
An enterprise rights management system for on-the-field maintenance facilities
Catuogno L.;Galdi C.;Riccio D.
2020
Abstract
On-the-field maintenance of complex equipments, that may involve multiple subjects and stakeholders, is one of most challenging scenarios for Enterprise Rights Management (ERM). In this paper, we present an ERM system that guarantees the 'on-site' protection of information confidentiality. In particular, our system features local data encryption and minimal data transfers. A secure key management protocol is executed by the devices operating on-site and the remote manufacturer's support center and guarantees an efficient and dynamic enforcement of arbitrary data-provider-defined access policies. Operator identities are verified by means of strong multi-biometric verification schemes whilst protecting their biometries by means of cancelable biometries. To this end, we provide the first experimental evaluation of cancelable biometrics based on the fusion of face and voice biometries, that may be of independent interest.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
