Fabric architecture

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.

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In addition to the downloads below, the full history of Fabric releases is also available on GitHub:

Current releases

Fabric 0.2.2 (July 2014) has support for local deadlock detection, bug fixes, and performance improvements. There is also a branch of 0.2.2 that additionally incorporates support for state warranties, as described in our NSDI 2014 paper.

Previous releases

Previous releases
Version Release date
June 2013 Reference manual ChangeLog
October 2012 Reference manual ChangeLog
September 2010

Related peer-reviewed group publications

  1. A language-based approach to secure quorum replication
    9th ACM SIGPLAN Workshop on Programming Languages and Analysis for Security (PLAS 2014), July 2014. Lantian Zheng and Andrew C. Myers.
  2. Defining and enforcing referential security
    3rd Conference on Principles of Security and Trust (POST'14), pp. 199–219, April 2014. Jed Liu and Andrew C. Myers.
  3. Warranties for faster strong consistency
    11th USENIX Symposium on Networked Systems Design and Implementation (NSDI'14), pp. 503–517, April 2014. Jed Liu, Tom Magrino, Owen Arden, Michael D. George, and Andrew C. Myers.
  4. Language-based control and mitigation of timing channels
    Proceedings of the 2012 ACM Conference on Programming Language Design and Implementation (PLDI'12), pp. 99–110, June 2012. Danfeng Zhang, Aslan Askarov, and Andrew C. Myers.
  5. 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, and Andrew C. Myers.
  6. Attacker control and impact for confidentiality and integrity
    Logical Methods in Computer Science, 7(3), September 2011. Aslan Askarov and Andrew C. Myers.
  7. Predictive mitigation of timing channels in interactive systems
    Proceedings of the 18th ACM Conference on Computer and Communications Security (CCS'11), pp. 563–574, October 2011. Danfeng Zhang, Aslan Askarov, and Andrew C. Myers.
  8. Predictive black-box mitigation of timing channels
    Proceedings of the 17th ACM Conference on Computer and Communications Security (CCS'10), pp. 297–307, October 2010. Aslan Askarov, Danfeng Zhang, and Andrew C. Myers.
  9. 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.
The development of Fabric has been supported by a number of funding sources, including NSF awards 0627649 and CCF-0964409; TRUST (Team for Research in Ubiquitous Secure Technology), which receives support from the NSF (CCF-0424422); ONR awards N00014-09-1-0652 and N00014-13-1-0089; and Air Force Research Laboratory award FA8750-08-2-0079. This work does not necessarily represent the opinions, expressed or implied, of any of these sponsors.