Aaron Eline

dblp:317/0570 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2024
0000-0002-9105-4922ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 3 · 3 since 2021
YearPublicationVenuePosition
2024 Cedar: A New Language for Expressive, Fast, Safe, and Analyzable Authorization
abstract
Cedar is a new authorization policy language designed to be ergonomic, fast, safe, and analyzable. Rather than embed authorization logic in an application’s code, developers can write that logic as Cedar policies and delegate access decisions to Cedar’s evaluation engine. Cedar’s simple and intuitive syntax supports common authorization use-cases with readable policies, naturally leveraging concepts from role-based, attribute-based, and relation-based access control models. Cedar’s policy structure enables access requests to be decided quickly. Cedar’s policy validator leverages optional typing to help policy writers avoid mistakes, but not get in their way. Cedar’s design has been finely balanced to allow for a sound and complete logical encoding, which enables precise policy analysis, e.g., to ensure that when refactoring a set of policies, the authorized permissions do not change. We have modeled Cedar in the Lean programming language, and used Lean’s proof assistant to prove important properties of Cedar’s design. We have implemented Cedar in Rust, and released it open-source. Comparing Cedar to two open-source languages, OpenFGA and Rego, we find (subjectively) that Cedar has equally or more readable policies, but (objectively) performs far better.
Joseph W. Cutler, Craig Disselkoen, Aaron Eline, Shaobo He 0002, Kyle Headley, Michael Hicks 0001, Kesha Hietala, Eleftherios Ioannidis, John H. Kastner, Anwar Mamat, Darin McAdams, Matt McCutchen, Neha Rungta, Emina Torlak, Andrew Wells
Proc. ACM Program. Lang.3
2022 Computing correctly with inductive relations
abstract
Inductive relations are the predominant way of writing specifications in mechanized proof developments. Compared to purely functional specifications, they enjoy increased expressive power and facilitate more compositional reasoning. However, inductive relations also come with a significant drawback: they can’t be used for computation.
Zoe Paraskevopoulou, Aaron Eline, Leonidas Lampropoulos
PLDI2
2022 C to checked C by 3c
abstract
Owing to the continued use of C (and C++), spatial safety violations (e.g., buffer overflows) still constitute one of today's most dangerous and prevalent security vulnerabilities. To combat these violations, Checked C extends C with bounds-enforced checked pointer types. Checked C is essentially a gradually typed spatially safe C - checked pointers are backwards-binary compatible with legacy pointers, and the language allows them to be added piecemeal, rather than necessarily all at once, so that safety retrofitting can be incremental. This paper presents a semi-automated process for porting a legacy C program to Checked C. The process centers on 3C, a static analysis-based annotation tool. 3C employs two novel static analysis algorithms - typ3c and boun3c - to annotate legacy pointers as checked pointers, and to infer array bounds annotations for pointers that need them. 3C performs a root cause analysis to direct a human developer to code that should be refactored; once done, 3C can be re-run to infer further annotations (and updated root causes). Experiments on 11 programs totaling 319KLoC show 3C to be effective at inferring checked pointer types, and experience with previously and newly ported code finds 3C works well when combined with human-driven refactoring.
Aravind Machiry, John H. Kastner, Matt McCutchen, Aaron Eline, Kyle Headley, Michael Hicks 0001
Proc. ACM Program. Lang.4