TRUSTED COMPUTING PLATFORMS: DESIGN AND APPLICATIONS

Smith, Sean W.

ISBN 10: 0387239162 / ISBN 13: 9780387239163

Verlag: Springer, New York, 2005

Beschreibung

1st edition, with full number line. A Fine copy. 8vo., 239 pp. Bound in blue, glossy, paper boards.

Bestandsnummer des Verkäufers 29354

Bibliografische Details

• Titel: TRUSTED COMPUTING PLATFORMS: DESIGN AND APPLICATIONS
• Verlag: Springer, New York
• Erscheinungsjahr: 2005
• Sprache: Englisch
• ISBN-10: 0387239162
• ISBN-13: 9780387239163
• Einband: Hard Cover
• Auflage: 1st Edition.
• Zustand: Fine
• Verkäuferkataloge:
  • Technology
  • Science

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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).