Skip to main content
Back to USENIX
  • Conferences
  • Students
Sign in

USENIX Conference Policies

  • Event Code of Conduct
  • Conference Network Policy
  • Statement on Environmental Responsibility Policy

Semantic Remote Attestation—A Virtual Machine Directed Approach to Trusted Computing

Remote attestation is one of the core functionalities provided by trusted computing platforms. It holds the promise of enabling a variety of novel applications. However, current techniques for remote attestation are static, inexpressive and fundamentally incompatible with today's heterogeneous distributed computing environments and commodity open systems. Using language-based virtual machines enables the remote attestation of complex, dynamic, and high-level program properties—in a platform-independent way. We call this semantic remote attestation. This enables a number of novel applications that distribute trust dynamically. We have implemented a prototype framework for semantic remote attestation, and present two example applications built on it—a peer-to-peer network protocol, and a distributed computing application.

Vivek Haldar, University of California, Irvine

Deepak Chandra, University of California, Irvine

Michael Franz, University of California, Irvine

BibTeX
@inproceedings {269968,
author = {Vivek Haldar and Deepak Chandra and Michael Franz},
title = {Semantic Remote {Attestation{\textemdash}A} Virtual Machine Directed Approach to Trusted Computing},
booktitle = {3rd Virtual Machine Research \& Technology Symposium (VM 04)},
year = {2004},
address = {San Jose, CA},
url = {https://www.usenix.org/conference/vm-04/semantic-remote-attestation{\textemdash}-virtual-machine-directed-approach-trusted-computing},
publisher = {USENIX Association},
month = may
}
Download

Links

Paper: 
http://usenix.org/publications/library/proceedings/vm04/tech/haldar/haldar.pdf
Paper (HTML): 
http://usenix.org/publications/library/proceedings/vm04/tech/haldar/haldar_html/index.html
  • Log in or register to post comments

© USENIX
EIN 13-3055038

  • Privacy Policy
  • Contact Us