News

NSA Extends Access Control to Network Storage

The National Security Agency is leading an effort to extend its access control work into the arena of network file storage. The effort involves integrating NSA's Flask mandatory access control (MAC) architecture -- now the basis of Security-Enhanced Linux (SELinux) -- into the Network File System (NFS) protocol widely used for network-attached storage devices.

David Quigley of NSA's National Information Assurance Research Laboratory presented the latest work on the project, called Labeled NFS, at the 71st meeting of the Internet Engineering Task Force this week in Philadelphia. IETF currently oversees the NFS protocol.

NSA initiated and led the effort to develop SELinux, an implementation of NSA's Flask MAC architecture for Linux. With MAC, programs and users are assigned attributes such as security levels. Whenever a program spawns a process thread or calls a file, the attributes are checked against the organization's authorization rules.

By deploying MAC, organizations can ensure that machine intruders don't hijack programs to execute malicious tasks, and they can prevent employees from accessing documents they don't have permission to view.

Labeled NFS extends those features across the network. By having NFS handle MAC labels, someone using a trusted computer can read and write files and execute programs that reside on NFS-based network storage. Today, the Flask architecture requires that all programs and files be stored locally.

Labeled NFS can work in smart mode, which allows the file server to make access control decisions, or dumb mode, which means it takes instructions from the client machine.

James Morris, principal software engineer at Red Hat, published the first recommendation for this approach, originally called Security Enhanced NFS, last summer. The company incorporates SELinux into its Red Hat Enterprise Linux operating system.

In addition to SELinux, Labeled NFS could also support Solaris Trusted Extensions, TrustedBSD and Security Enhanced Darwin, a MAC-enhanced version of the Apple operating system.

About the Author

Joab Jackson is the chief technology editor of Government Computing News (GCN.com).

comments powered by Disqus

Featured

  • VS Code v1.99 Is All About Copilot Chat AI, Including Agent Mode

    Agent Mode provides an autonomous editing experience where Copilot plans and executes tasks to fulfill requests. It determines relevant files, applies code changes, suggests terminal commands, and iterates to resolve issues, all while keeping users in control to review and confirm actions.

  • Windows Community Toolkit v8.2 Adds Native AOT Support

    Microsoft shipped Windows Community Toolkit v8.2, an incremental update to the open-source collection of helper functions and other resources designed to simplify the development of Windows applications. The main new feature is support for native ahead-of-time (AOT) compilation.

  • New 'Visual Studio Hub' 1-Stop-Shop for GitHub Copilot Resources, More

    Unsurprisingly, GitHub Copilot resources are front-and-center in Microsoft's new Visual Studio Hub, a one-stop-shop for all things concerning your favorite IDE.

  • Mastering Blazor Authentication and Authorization

    At the Visual Studio Live! @ Microsoft HQ developer conference set for August, Rockford Lhotka will explain the ins and outs of authentication across Blazor Server, WebAssembly, and .NET MAUI Hybrid apps, and show how to use identity and claims to customize application behavior through fine-grained authorization.

  • Linear Support Vector Regression from Scratch Using C# with Evolutionary Training

    Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric value. A linear SVR model uses an unusual error/loss function and cannot be trained using standard simple techniques, and so evolutionary optimization training is used.

Subscribe on YouTube