Trust and Trustworthy Computing (eBook, PDF)

6th International Conference, TRUST 2013, London, UK, June 17-19, 2013, Proceedings
Redaktion: Huth, Michael; Coles-Kemp, Lizzie; Flechais, Ivan; Capkun, Srdjan; Asokan, N.

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 6th International Conference on Trust and Trustworthy Computing, TRUST 2013, held in London, UK, in June 2013. There is a technical and a socio-economic track. The full papers presented, 14 and 5 respectively, were carefully reviewed from 39 in the technical track and 14 in the socio-economic track. Also included are 5 abstracts describing ongoing research. On the technical track the papers deal with issues such as key management, hypervisor usage, information flow analysis, trust in network measurement, random number generators, case studies that evaluate trust-based methods in practice, simulation environments for trusted platform modules, trust in applications running on mobile devices, trust across platform. Papers on the socio-economic track investigated, how trust is managed and perceived in online environments, and how the disclosure of personal data is perceived; and some papers probed trust issues across generations of users and for groups with special needs.

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 278
• Erscheinungstermin: 12. Juni 2013
• Englisch
• ISBN-13: 9783642389085
• Artikelnr.: 44227750

Autorenporträt

Dipl.-Ing. Michael Huth ist Geschäftsführer der ATLANTHIS GbR, Trainer für Programmierung mit VBA und Programmierer

Inhaltsangabe

Technical tracks: key management.- Hypervisor usage.- Information flow analysis.- Trust in network measurement.- Random number generators.- Case studies that evaluate trust-based methods in practice: simulation environments for trusted platform modules.- Trust in applications running on mobile devices.- Trust across platform. Socio-economic track: investigated, how trust is managed and perceived in online environments.- How the disclosure of personal data is perceived.- Some papers probed trust issues across generations of users and for groups with special needs.