Fabric is a federated, distributed system for securely and reliably storing, sharing, and computing information. It is being developed by the Applied Programming Languages Group at Cornell University.
Fabric presents a single-system image of all resources that can be named by it, and provides security guarantees to mutually distrusting principals using it, but it is a decentralized system with no centralized security enforcement mechanism. Fabric provides decentralized yet compositional security.
The Fabric programming language, based on Jif, controls the placement of computation and data through type annotations that set policies for information security. Strong consistency is ensured through a hierarchical two-phase commit protocol that respects information security. Fabric leverages peer-to-peer replication to provide high availability.
The development of Fabric has been supported by NSF awards 0627649 and CCF-0964409, by ONR award N00014-09-1-0652, and by Air Force Research Laboratory award FA8750-08-2-0079.
The second release of Fabric is now available! (Fabric 0.2.0, October 2012). It incorporates the support for mobile code described in our Oakland '12 paper, along with many improvements to usability, performance, and reliability.
The previous version is still available:
- (September 2010)
- How languages can save distributed computing. POPL 2013 keynote talk, Andrew C. Myers.
Related peer-reviewed group publications
Language-based control and mitigation of timing channels
Proceedings of the 2012 ACM Conference on Programming Language Design and Implementation (PLDI'12), June 2012. Danfeng Zhang, Aslan Askarov, and Andrew C. Myers.
Sharing mobile code securely with information flow control
Proc. 33rd IEEE Symposium on Security and Privacy (Oakland'12), pp. 192–205, May 2012. Owen Arden, Michael D. George, Jed Liu, K. Vikram, Aslan Askarov, Andrew C. Myers.
Attacker control and impact for confidentiality and integrity
Logical Methods in Computer Science, 7(3), September 2011, Aslan Askarov and Andrew C. Myers.
Predictive mitigation of timing channels in interactive systems
Proceedings of the 18th ACM Conference on Computer and Communications Security (CCS'11), pages 563–574, October 2011. Danfeng Zhang, Aslan Askarov, and Andrew C. Myers.
Predictive black-box mitigation of timing channels
Proceedings of the 17th ACM Conference on Computer and Communications Security (CCS'10), to appear, October 2010. Aslan Askarov, Danfeng Zhang, and Andrew C. Myers.
Fabric: A platform for secure distributed computation and storage
Proc. 22nd ACM Symposium on Operating Systems Principles (SOSP'09), pp. 321–334, October 2009. Jed Liu, Michael D. George, K. Vikram, Xin Qi, Lucas Waye, and Andrew C. Myers.