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Record Nr. |
UNINA9910389743803321 |
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Titolo |
802.1X-2020 - IEEE Standard for Local and Metropolitan Area Networks : Port-Based Network Access Control / / IEEE |
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Pubbl/distr/stampa |
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New York. : , : IEEE, , 2020 |
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ISBN |
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Descrizione fisica |
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1 online resource (289 pages) |
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Disciplina |
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Soggetti |
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Local area networks (Computer networks) - Standards |
Metropolitan area networks (Computer networks) - Standards |
IEEE Standards |
Computer networks - Security measures - Standards |
Access control |
Authorization |
Media Access Protocol |
Authentication |
Security |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Port-based network access control allows a network administrator to restrict the use of IEEE 802(R) LAN service access points (ports) to secure communication between authenticated and authorized devices. This standard specifies a common architecture, functional elements, and protocols that support mutual authentication between the clients of ports attached to the same LAN and that secure communication between the ports, including the media access method independent protocols that are used to discover and establish the security associations used by IEEE 802.1AE(TM) MAC Security. |
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2. |
Record Nr. |
UNINA9910557426503321 |
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Autore |
Lockhart Thurmon |
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Titolo |
Sensors for Gait, Posture, and Health Monitoring Volume 1 |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
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Descrizione fisica |
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1 online resource (410 p.) |
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Soggetti |
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History of engineering and technology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance |
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