Scalable web content attestation

Thomas Moyer, Kevin Butler, Joshua Schiffman, Patrick McDaniel, Trent Jaeger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

The web is a primary means of information sharing for most organizations and people. Currently, a recipient of web content knows nothing about the environment in which that information was generated other than the specific server from whence it came (and even that information can be unreliable). In this paper, we develop and evaluate the Spork system that uses the Trusted Platform Module (TPM) to tie the web server integrity state to the web content delivered to browsers, thus allowing a client to verify that the origin of the content was functioning properly when the received content was generated and/or delivered. We discuss the design and implementation of the Spork service and its browser-side Firefox validation extension. In particular, we explore the challenges and solutions of scaling the delivery of mixed static and dynamic content using exceptionally slow TPM hardware. We perform an in-depth empirical analysis of the Spork system within Apache web servers. This analysis shows Spork can deliver nearly 8,000 static or over 7,000 dynamic integrity-measured web objects per-second. More broadly, we identify how TPM-based content web services can scale with manageable overheads and deliver integrity-measured content with manageable overhead.

Original languageEnglish (US)
Title of host publication25th Annual Computer Conference Security Applications, ACSAC 2009
Pages95-104
Number of pages10
DOIs
StatePublished - 2009
Event25th Annual Computer Conference Security Applications, ACSAC 2009 - Honolulu, HI, United States
Duration: Dec 7 2009Dec 11 2009

Publication series

NameProceedings - Annual Computer Security Applications Conference, ACSAC
ISSN (Print)1063-9527

Other

Other25th Annual Computer Conference Security Applications, ACSAC 2009
CountryUnited States
CityHonolulu, HI
Period12/7/0912/11/09

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software
  • Safety, Risk, Reliability and Quality

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