Smith | Trusted Computing Platforms | Buch | 978-0-387-23916-3 | sack.de

Buch, Englisch, 239 Seiten, Format (B × H): 162 mm x 242 mm, Gewicht: 1200 g

Smith

Trusted Computing Platforms

Design and Applications
2005. Auflage 2004
ISBN: 978-0-387-23916-3
Verlag: Springer Us

Design and Applications

Buch, Englisch, 239 Seiten, Format (B × H): 162 mm x 242 mm, Gewicht: 1200 g

ISBN: 978-0-387-23916-3
Verlag: Springer Us


From early prototypes and proposed applications, this book surveys the longer history of amplifying small amounts of hardware security into broader system security

Including real case study experience with security architecture and applications on multiple types of platforms.

Examines the theory, design, implementation of the IBM 4758 secure coprocessor platform and discusses real case study applications that exploit the unique capabilities of this platform.

Examines more recent cutting-edge experimental work in this area.

Written for security architects, application designers, and the general computer scientist interested in the evolution and use of this emerging technology.

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Zielgruppe


Research


Autoren/Hrsg.


Weitere Infos & Material


Motivating Scenarios.- Attacks.- Foundations.- Design Challenges.- Platform Architecture.- Outbound Authentication.- Validation.- Application Case Studies.- TCPA/TCG.- Experimenting with TCPA/TCG.- New Horizons.


Sean Smith is currently on the faculty of the Department of Computer Science at Dartmouth College, serves as director of the Cyber Security and Trust Research Center at Dartmouth's Institute for Security Technology Studies, and also serves as Principal Investigator of the Dartmouth PKI Lab. His current research and teaching focus on how to build trustworthy systems in the real world. He previously worked as a scientist at IBM T.J. Watson Research Center, doing secure coprocessor design, implementation and validation; and at Los Alamos National Laboratory, doing security designs and analyses for a wide range of public-sector clients. Dr. Smith was educated at Princeton (B.A., Math) and Carnegie Mellon (M.S., Ph.D., Computer Science).



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