Trusted Computing Platforms : Design and Applications

Smith, Sean W

ISBN 10: 7302131740 / ISBN 13: 9787302131748

Verlag: Springer, 2000

Beschreibung

Bestandsnummer des Verkäufers 44954354-n

Bibliografische Details

• Titel: Trusted Computing Platforms : Design and Applications
• Verlag: Springer
• Erscheinungsjahr: 2000
• Sprache: Englisch
• ISBN-10: 7302131740
• ISBN-13: 9787302131748
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

Trusted Computing Platforms: Design and Applications is written for security architects, application designers, and the general computer scientist interested in the evolution and uses of this emerging technology. Starting with early prototypes and proposed applications, this book surveys the longer history of amplifying small amounts of hardware security into broader system security, using real case studies on security architecture and applications on multiple types of platforms. The author examines the theory, design, implementation of the IBM 4758 secure coprocessor platform and discusses real case study applications that exploit its unique capabilities. The author discusses how these foundations grow into newer industrial designs, discusses alternate architectures and applications that this newer hardware can enable, and cutting-edge research

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).