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The management of security credentials (e.g., passwords, secret keys) forcomputational science workflows is a burden for scientists and informationsecurity officers. Problems with credentials (e.g., expiration, privilegemismatch) cause workflows to fail to fetch needed input data or store valuablescientific results, distracting scientists from their research by requiringthem to diagnose the problems, re-run their computations, and wait longer fortheir results. SciTokens introduces a capabilities-based authorizationinfrastructure for distributed scientific computing, to help scientists managetheir security credentials more reliably and securely. SciTokens usesIETF-standard OAuth JSON Web Tokens for capability-based secure access toremote scientific data. These access tokens convey the specific authorizationsneeded by the workflows, rather than general-purpose authenticationimpersonation credentials, to address the risks of scientific workflows runningon distributed infrastructure including NSF resources (e.g., LIGO Data Grid,Open Science Grid, XSEDE) and public clouds (e.g., Amazon Web Services, GoogleCloud, Microsoft Azure). By improving the interoperability and security ofscientific workflows, SciTokens 1) enables use of distributed computing forscientific domains that require greater data protection and 2) enables use ofmore widely distributed computing resources by reducing the risk of credentialabuse on remote systems.  In this extended abstract, we present the results over the past year of ouropen source implementation of the SciTokens model and its deployment in theOpen Science Grid, including new OAuth support added in the HTCondor 8.8release series.

SciTokens: Demonstrating Capability-Based Access to Remote Scientific Data using HTCondor