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Cited by 363

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Secure attribute-based systems

Pirretti, Matthew, Traynor, Patrick, McDaniel, Patrick, Waters, Brent·2006·Proceedings of the 13th ACM conference on Computer and communications security

Abstract

Attributes define, classify, or annotate the datum to which they are assigned. However, traditional attribute architectures and cryptosystems are ill-equipped to provide security in the face of diverse access requirements and environments. In this paper, we introduce a novel secure information management architecture based on emerging attribute-based encryption (ABE) primitives. A policy system that meets the needs of complex policies is defined and illustrated. Based on the needs of those policies, we propose cryptographic optimizations that vastly improve enforcement efficiency. We further explore the use of such policies in two example applications: a HIPAA compliant distributed file system and a social network. A performance analysis of our ABE system and example applications demonstrates the ability to reduce cryptographic costs by as much as 98% over previously proposed constructions. Through this, we demonstrate that our attribute system is an efficient solution for securely managing information in large, loosely-coupled, distributed systems.

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Metadata

Authors
Pirretti, M., Traynor, P., McDaniel, P., & Waters, B.
Venue
Proceedings of the 13th ACM conference on Computer and communications security
Publisher
ACM
Published
2006-10-30
Pages
99-112
ISSN
1543-7221 (ISSN-L)
OpenAlex
W2160608575
Cited by
363
References
32
FWCI
12.73
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Secure attribute-based systems. https://app.cochat.ai/papers/10.1145/1180405.1180419
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Pirretti, M., Traynor, P., McDaniel, P., & Waters, B. (2006). Secure attribute-based systems. Proceedings of the 13th ACM conference on Computer and communications security. https://doi.org/10.1145/1180405.1180419

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.